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Academic Writing:
Writing Your Introduction
Dr. Ron Martinez
UFPR, UC Berkeley
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
● Common mistakes authors can make
when writing the Introduction
● Some “scaffolding”
● How learning to read others’ work can
help you
Today...
Prof. Dr. Ron Martinez - UFPR
Prof. Dr. Ron Martinez - UFPR
Prof. Dr. Ron Martinez - UFPR
CLAIM
Prof. Dr. Ron Martinez - UFPR
CLAIM
EVIDENCE
Prof. Dr. Ron Martinez - UFPR
Prof. Dr. Ron Martinez - UFPR
Prof. Dr. Ron Martinez - UFPR
“”claiming centrality”
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Good introduction?
Much was written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetic aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts were made to relate these actions. In this research, we intend to
delineate...
Good introduction?
Much was written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts were made to relate these actions. In this research, we intend to
delineate...
Good introduction?
Much was written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts were made to relate these actions. In this research, we intend to
delineate...
Good introduction?
Much was written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts were made to relate these actions. In this research, we intend to
delineate...
Much was written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts were made to relate these actions. In this research, we intend to
delineate...
Much has been written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts were made to relate these actions. In this research, we intend to
delineate...
Much has been written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts were made to relate these actions. In this research, we intend to
delineate...
Much has been written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts have been made to relate these actions. In this research, we intend
to delineate...
Much has been written on interaction in electroacoustic mixed works. Several
analytical strategies have been published, such as Menezes (2002),
Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques
(CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011;
GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now,
few efforts have been made to relate these actions. In this research, we intend
to delineate...
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
Be careful with “extraneous”
information in your
Introduction
Module 5 -  Academic Writing: Writing Your Introduction
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. A
comparison between the existing software will be done demonstrating the ups and downs of each
software and the best application for each one, verifying the attributes such as speed, complexity,
accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction
between the software and the user and what are the purposes of each software. Mainly the plotted
networks and the results given by each software will be analyzed, showing what each one shows or
does not show and its best application.
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit your research better,
and sometimes do not even know if using the software will help something in your research. Many
who enter bioinformatics have only one side of training, biology or computer science, this leads to a
larger learning curve most of the timeA comparison between the existing software will be done
demonstrating the ups and downs of each software and the best application for each one, verifying
the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will
also be analyzed, how the interaction between the software and the user and what are the purposes
of each software. ...
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit their research better,
and sometimes do not even know if using the software will help at all in their research. Many who
enter bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the timeA comparison between the existing software will be done
demonstrating the ups and downs of each software and the best application for each one, verifying
the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will
also be analyzed, how the interaction between the software and the user and what are the purposes
of each software. ...
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit their research better,
and sometimes do not even know if using the software will help at all in their research. After all, many
who enter bioinformatics have only one side of training, biology or computer science, and this leads to
a larger learning curve most of the timeA comparison between the existing software will be done
demonstrating the ups and downs of each software and the best application for each one, verifying
the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will
also be analyzed, how the interaction between the software and the user and what are the purposes
of each software. ...
In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of
large amounts of data. Some of the forms used today are graphical representations of biological
networks, so it is possible to make a more efficient analysis of certain data. Many tools have already
been produced in order to provide better visualization and understanding of the data. Many who enter
bioinformatics have only one side of training, biology or computer science, this leads to a larger
learning curve most of the time and although there are several software to aid in research and
analysis, people do not always know the which is better or which is going to fit their research better,
and sometimes do not even know if using the software will help at all in their research. After all, many
who enter bioinformatics have only one side of training, biology or computer science, and this leads to
a larger learning curve most of the time Therefore, a comparison between the existing software will
be done demonstrating the ups and downs of each software and the best application for each one,
verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The
interfaces will also be analyzed, how the interaction between the software and the user and what are
the purposes of each software. ...
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
Module 5 -  Academic Writing: Writing Your Introduction
1) Identify problems. 2) How to improve?
There were three little pigs, of different ages. There was a wolf nearby.
They needed to build a home. The first pig decided to build a house of
straw. The second built a house of sticks. Its name was Porky. The
third pig took longer to build his house. His house was made of bricks.
Bricks are a more expensive material. A hungry wolf came to eat the
pigs. The pigs hid inside their homes. The wolf easily blew down the
first house. It took longer to blow down the second house, but the wolf
did it. The third house was made of bricks. It was impossible to blow
down.

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Module 5 - Academic Writing: Writing Your Introduction

  • 1. Academic Writing: Writing Your Introduction Dr. Ron Martinez UFPR, UC Berkeley
  • 4. ● Common mistakes authors can make when writing the Introduction ● Some “scaffolding” ● How learning to read others’ work can help you Today...
  • 5. Prof. Dr. Ron Martinez - UFPR
  • 6. Prof. Dr. Ron Martinez - UFPR
  • 7. Prof. Dr. Ron Martinez - UFPR CLAIM
  • 8. Prof. Dr. Ron Martinez - UFPR CLAIM EVIDENCE
  • 9. Prof. Dr. Ron Martinez - UFPR
  • 10. Prof. Dr. Ron Martinez - UFPR
  • 11. Prof. Dr. Ron Martinez - UFPR “”claiming centrality”
  • 20. Good introduction? Much was written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetic aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts were made to relate these actions. In this research, we intend to delineate...
  • 21. Good introduction? Much was written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts were made to relate these actions. In this research, we intend to delineate...
  • 22. Good introduction? Much was written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts were made to relate these actions. In this research, we intend to delineate...
  • 23. Good introduction? Much was written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts were made to relate these actions. In this research, we intend to delineate...
  • 24. Much was written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts were made to relate these actions. In this research, we intend to delineate...
  • 25. Much has been written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts were made to relate these actions. In this research, we intend to delineate...
  • 26. Much has been written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts were made to relate these actions. In this research, we intend to delineate...
  • 27. Much has been written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts have been made to relate these actions. In this research, we intend to delineate...
  • 28. Much has been written on interaction in electroacoustic mixed works. Several analytical strategies have been published, such as Menezes (2002), Bachratá(2012), O'Callaghan; Eigenfeldt (2010), as well as on the techniques (CAMPOS 2005; ROWE, 1993), and on aesthetics aspects (BREIBJBERG, 2011; GARNETT, 2001, ROWE, 1999) of this kind of interaction. However, until now, few efforts have been made to relate these actions. In this research, we intend to delineate...
  • 31. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 32. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 33. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 34. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 35. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 36. Be careful with “extraneous” information in your Introduction
  • 38. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 39. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 40. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 41. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 42. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 43. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. A comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. Mainly the plotted networks and the results given by each software will be analyzed, showing what each one shows or does not show and its best application.
  • 44. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit your research better, and sometimes do not even know if using the software will help something in your research. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the timeA comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. ...
  • 45. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit their research better, and sometimes do not even know if using the software will help at all in their research. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the timeA comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. ...
  • 46. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit their research better, and sometimes do not even know if using the software will help at all in their research. After all, many who enter bioinformatics have only one side of training, biology or computer science, and this leads to a larger learning curve most of the timeA comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. ...
  • 47. In biology we have a lot of data to analyze and bioinformatics has emerged to aid in the analysis of large amounts of data. Some of the forms used today are graphical representations of biological networks, so it is possible to make a more efficient analysis of certain data. Many tools have already been produced in order to provide better visualization and understanding of the data. Many who enter bioinformatics have only one side of training, biology or computer science, this leads to a larger learning curve most of the time and although there are several software to aid in research and analysis, people do not always know the which is better or which is going to fit their research better, and sometimes do not even know if using the software will help at all in their research. After all, many who enter bioinformatics have only one side of training, biology or computer science, and this leads to a larger learning curve most of the time Therefore, a comparison between the existing software will be done demonstrating the ups and downs of each software and the best application for each one, verifying the attributes such as speed, complexity, accuracy, ergonomics, among others. The interfaces will also be analyzed, how the interaction between the software and the user and what are the purposes of each software. ...
  • 53. 1) Identify problems. 2) How to improve? There were three little pigs, of different ages. There was a wolf nearby. They needed to build a home. The first pig decided to build a house of straw. The second built a house of sticks. Its name was Porky. The third pig took longer to build his house. His house was made of bricks. Bricks are a more expensive material. A hungry wolf came to eat the pigs. The pigs hid inside their homes. The wolf easily blew down the first house. It took longer to blow down the second house, but the wolf did it. The third house was made of bricks. It was impossible to blow down.