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Miss. Rupali Salunkhe
Presented by
Walchand Center For Biotechnology, Solapur
Contents
 History
 What is Python?
 Features
 Advantages
 Who Uses Python?
 Applications
 What is Biopython ?
 Program Introduction to Biopython
 What can Biopython do?
 References
History
 Created by Guido van Rossum in 1991
 Guido Van Rossum is fan of ‘Monty Python’s Flying
Circus’, this is a famous TV show in Netherlands
 Named after Monty Python.
What is Python?
Python is a general purpose, dynamic, high level and
interpreted programming language.
It is object oriented as well as scripting language.
It is relatively simple and easy to learn.
Features
 Object-Oriented Language
 Interpreted Language
 Interactive Programming Language
 Easy language
 Easy to read
 Portable
 Extendable
 Scalable
Advantages
 Dynamic Type Checking makes it inherently generic
 Open Source
 Powerful language constructs
 Powerful library
 Mixable with other languages
 Easy to use & learn
Who Uses Python?
Applications
 Software Development
 Web Development
 GUI Development
Applications in Bioinformatics
 Pymol
What is Biopython ?
 Biopython Project is an international association of
developers.
 Freely available Python tools for computational molecular
biology.
 Biopython is a Python library for reading and writing
biological data formats.
 Goal of Biopython is to make it as easy as possible to use
Python for bioinformatics.
Program Introduction to Biopython
 Sequence objects
 Sequence Record objects
 Protein structures (PDB module)
 Working with DNA and protein sequences
 Transcription and Translation
 Extracting information from biological resources
 Parsing Swiss-Prot files
 Parsing BLAST output
 Accessing NCBI’s Entrez databases
 Parsing Medline records
 Running external applications (e.g. BLAST) locally and
from a script
 Working with motifs
 Parsing PROSITE documentation records
File formats created by using Biopython
 Blast
 Clustalw
 FASTA
 PubMed
 ExPASy files
 SCOP
 SwissProt
 PDB
What can Biopython do?
 Manipulate DNA and protein sequences
 Run BLAST
 Access public databases
 Manipulate protein structures
References
 http://biopython.org
 https://www.tutorialspoint.com
 http://www.python-course.eu/python
Thank you

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Python

  • 1. Miss. Rupali Salunkhe Presented by Walchand Center For Biotechnology, Solapur
  • 2. Contents  History  What is Python?  Features  Advantages  Who Uses Python?  Applications  What is Biopython ?  Program Introduction to Biopython  What can Biopython do?  References
  • 3. History  Created by Guido van Rossum in 1991  Guido Van Rossum is fan of ‘Monty Python’s Flying Circus’, this is a famous TV show in Netherlands  Named after Monty Python.
  • 4. What is Python? Python is a general purpose, dynamic, high level and interpreted programming language. It is object oriented as well as scripting language. It is relatively simple and easy to learn.
  • 5. Features  Object-Oriented Language  Interpreted Language  Interactive Programming Language  Easy language  Easy to read  Portable  Extendable  Scalable
  • 6. Advantages  Dynamic Type Checking makes it inherently generic  Open Source  Powerful language constructs  Powerful library  Mixable with other languages  Easy to use & learn
  • 8. Applications  Software Development  Web Development  GUI Development
  • 10. What is Biopython ?  Biopython Project is an international association of developers.  Freely available Python tools for computational molecular biology.  Biopython is a Python library for reading and writing biological data formats.  Goal of Biopython is to make it as easy as possible to use Python for bioinformatics.
  • 11. Program Introduction to Biopython  Sequence objects  Sequence Record objects  Protein structures (PDB module)  Working with DNA and protein sequences  Transcription and Translation  Extracting information from biological resources  Parsing Swiss-Prot files  Parsing BLAST output
  • 12.  Accessing NCBI’s Entrez databases  Parsing Medline records  Running external applications (e.g. BLAST) locally and from a script  Working with motifs  Parsing PROSITE documentation records
  • 13. File formats created by using Biopython  Blast  Clustalw  FASTA  PubMed  ExPASy files  SCOP  SwissProt  PDB
  • 14. What can Biopython do?  Manipulate DNA and protein sequences  Run BLAST  Access public databases  Manipulate protein structures