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Informal Presentation on




Munsi Md. Shahiuzzaman   Atai Rabby
4th year, FH- 302        4th year, SH-307
Realm of
Introduction
                 Bioinformatics




   Career in
                   Our Plan
Bioinformatics
What is Bioinformatics?

Bioinformatics represents a new, growing area of science
that uses computational approaches to answer biological
questions.

•Use computer technologies and statistical methods
•Manage and analyze a huge volume of biological data
• originated from biology and informatics
• Informatics means analysis of information
• Bioinformatics is the analysis of biological
  information
Informal presentation on bioinformatics
Correlated subjects

Biology
Biochemistry
Molecular Biology
Microbiology
Genetic engineering
Mathematics
Statistics
Computer science.
Requirements for Bioinformatics research


  •   Biological background
  •   Computer knowledge
  •   Internet browsing experience
  •   Creativity
Route to become Bioinformatician


Biology                      Computer
               C
               O    B
               M    I
               P    O
               U    L
               T    O
               E    G
               R    Y



          Bioinformatician
• Computer
• Internet connection
Informal presentation on bioinformatics
Lab apparatus

    WebPages
     Software
  Computer tools
•   Analyze huge volume of data
•   Don’t need expensive wet lab
•   Same research can be repeated many times
•   No adverse effect
•   Time saving
In respect of Biochemistry & Molecular Biology
DNA Sequence analysis


 Catching Errors
 Removing vector sequences
 Computing/Verifying a Restriction Map
 Designing PCR Primers
 Analyzing DNA Composition
 Establishing the G+C content of your sequence
 Finding internal repeats in your sequence
 Identifying genome-specific repeats in your sequence
 Finding Protein-Coding Regions
 ORFing your DNA sequence
 Analyzing your DNA sequence with GeneMark
 Finding internal exons in vertebrate genomic sequences
 Complete gene parsing for eukaryotic genomes
 Assembling Sequence Fragments
 Managing large sequencing projects
Working with a Single Protein Sequence



 Predicting the main physico-chemical properties of a protein
 Digesting a protein in a computer
 Doing Primary Structure Analysis
 Looking for transmembrane segments
 Looking for coiled-coil regions
 Predicting Post-Translational Modifications in Your protein
 Finding Known Domains in Your Protein
 Discovering New Domains in Your Proteins
RNA analysis


structure prediction
function prediction
translation
discovery
Practical Examples
 Genome annotation
      In the context of genomics, annotation is the process of
      marking the genes and other biological features in a DNA
      sequence.
 Computational evolutionary biology
      build complex computational models of populations to predict
      the outcome of the system over time track and share
      information on an increasingly large number of species and
      organisms
 Biodiversity
 Analysis of gene expression
 Analysis of regulation of the cell cycle.
 Analysis of protein expression
 Prediction of protein structure
 drug design
 predict function of unknown protein
 predict reaction of unknown protein with enzymes
 working with unknown protein in research
Practical Examples …

 High-throughput image analysis
         • DNA mapping
         • RFLP
         • Chromosome walking
         • Restriction mapping
         • Fingerprinting etc.

 Genetic Disease analysis
 Analysis of mutations in cancer
 Uses of Bioinformatics in agriculture
 Application of Remote Sensing and GIS for agriculture
         Evolutionary studies
         Crop improvement
         Insect resistance
         Improve nutritional quality
         Development of Drought resistance varieties
Working with biological data
 PubMed
  Reaserch information retrival and analysis

 Online Mendelian Inheritance in Man (OMIM)
  Catalog of human genes and genetic disorders, with links to associated
  literature references, sequence records, BLAST: and related databases.
                                           maps,
                                           The Basic Local Alignment Search Tool for
 Protein Function Analysis                comparing gene and protein
                                           Algorithms: blastn, megablast,
 Compare your protein sequence to the discontiguous derived) protein psi-
                                           secondary (or megablast ,blastp,
                                           blast, phi-blast,tblastn ,tblastx
 Databases that contain information on motifs, signatures and protein
  domains

 Homology and Similarity Tools
  Used to identify similarities between novel query sequences of unknown
  structure and function with known database

 Make specific primers with Primer-BLAST
 Structural Analysis
  Compare structures with the known structure databases

 Sequence Analysis
  Evolutionary analysis, identification of mutations, hydropathy regions, CpG
  islands and Former Famous tool for similarity searching
              compositional biases

 FASTA
  A database search tool used to compare a nucleotide or peptide sequence
  to a sequence database

 EMBOSS
 Sequence alignment : database searching with sequence patterns, protein
 motif identification and domain analysis, nucleotide sequence pattern
 analysis, codon usage analysis for small genomes, and much more.
 Clustalw
  It produces biologically meaningful multiple sequence alignments , calculates
  the best match for the selected sequences, and lines them up so that the
  identities, similarities and differences can be seen.

 RasMol
  Display the structure of DNA, proteins, and smaller molecules. Protein
  Explorer, a derivative of RasMol, is an easier to use program.

 CDTree
  Classify protein sequences and investigating their evolutionary relationships

 ProSplign
  Utility for computing alignment of proteins to genomic nucleotide sequence.
  Specifically accounts for introns and splice signals.

 Splign
  A utility for computing cDNA-to-Genomic sequence alignments.
 BLAST Link (BLink)
  A link option on protein records that displays the results of a pre-computed
  BLAST search of that protein against all other protein sequences .
                              Huge Capability to working with DNA database
 Open Mass Spectrometry Search Algorithm Local Database, Restriction
                              Include : Making (OMSSA) Search
  Efficient search engine for identifyingPrimer Design & spectra by searching
                              Mapping, MS/MS peptide Analysis, Homology
  libraries of known protein sequences. SNP Searching, Protein structure
                              Searching,
                              prediction from DNA, Mutation detection
 Genome Workbench
   An integrated application for viewing and analyzing sequence data.

 VecScreen
  System for quickly identifying segments of a nucleic acid sequence that may
  be of vector origin.

 Digital Differential Display (DDD)
  A tool for comparing EST profiles in order to identify genes with significantly
  different expression levels.
 Electronic PCR (e-PCR)
  e-PCR looks for potential STSs in DNA sequences by searching for
  subsequences that closely match the PCR primers and have the correct
  order, orientation, and spacing that could represent the PCR primers used
  to generate known STSs.

 Cn3D
  A stand-alone application for viewing 3-dimensional structures from NCBI

 PSSM Viewer
  Allows users to display, sort, subset and download position-specific score
  matrices (PSSMs) either from CDD records or from (PSI)-BLAST

 Vector Alignment Search Tool (VAST)
  A computer algorithm that identifies similar protein 3-dimensional structures.

 Conserved Domain Search Service (CD Search)
  Identifies the conserved domains present in a protein sequence.
 Database of Genotypes and Phenotypes (dbGaP)
  Archives and distributes the results of studies that have investigated the
  interaction of genotypes and phenotypes.

 Genetic Codes
  Displays the genetic codes for organisms in the Taxonomy database in
  tables and on a taxonomic tree.

 Concise Microbial Protein BLAST
  A specialized BLAST service in which the queried database consists of all
  proteins from complete microbial (prokaryotic) genomes.

 Genome ProtMap
  Maps each protein from a COG, or in the case of viruses a VOG, back to its
  genome, and displays all the genomic segments coding for members of this
  particular group of related proteins.
 Online Mendelian Inheritance in Animals (OMIA)

 PubChem Structure Search
  PubChem Structure Search allows the PubChem Compound Database to be
  queried by chemical structure or chemical structure pattern.

 SNP Database Specialized Search Tools
  A variety of tools are available for searching the SNP database, allowing
  search by genotype, method, population, submitter, markers and sequence
  similarity using BLAST.

 Viral Genotyping Tool
  This tool helps identify the genotype of a viral sequence.

 BioAssay Services

 Taxonomy Common Tree
  Generates a taxonomic tree for a selected group of organisms
Walking through Internet
Table : Genome sequence databases.

 Database                 Description                               URL

             An annotated collection of all publicly
 GenBank       available nucleotide and protein         http://www.ncbi.nlm.ni h.gov
                          sequences

             Curated protein sequence database
SWISS-PROT     with a high level of annotation          http://www.expasy.org /sport


             Genomes online database – a listing
              of completed and ongoing genome
  GOLD                                                 http://www.genomeson line.org
                projects Kyoto encyclopedia of
                            genes

              and genomes – integrated suite of        http://www.genome.ad .jp/kegg
  KEGG        databases on genes, proteins, and
                    metabolic pathways

             Integrated database for the analysis
 BIOSILICO      of metabolism and compound               http://biosilico.kaist.ac. kr
                          structures
Table : The existing research on bioinformatics that has applied machine learn-ing techniques.
Research Area                     Application          Reference
                                                       http://www.ncbi.nlm.nih.gov/BL AST/
Sequence alignment                BLAST, FASTA
                                                       http://www.ebi.ac.uk/fasta33/
                                  ClustalWMultAlin     http://www.ebi.ac.uk/clustalw/
Multiple sequence alignment       DiAlign              http://prodes.toulouse.inra.fr/mult alin
                                                       http://www.genomatix.de/cgi-bin/dialign/dialign.pl

                                  Genscan              http://genes.mit.edu/GENSCAN.h tml
Gene finding                      GenomeScanGene       http://genes.mit.edu/genomescan/
                                  Mark                 http://www.ebi.ac.uk/genemark/
                                                       http://www.sanger.ac.uk/Software /Pfam/
Protein domain analy-sis and      Pfam                 http://www.blocks.fhcrc.org/
identification                    BLOCKSProDom         http://prodes.toulouse.inra.fr/prod om/current/html

                                  Gibbs Sampler        http://bayesweb.wadsworth.org/gi bbs/gibbs.html
Pattern identification            AlignACE             http://atlas.med.harvard.edu/cgi-bin/alignace.pl
                                  MEME                 http://meme.sdsc.edu/meme/webs ite/intro.html
                                                       http://www.embl-heidelberg.de/predictprotein/ pre-
                                  PredictProtein       dictprotein.html
Protein folding predic-tion
                                  SwissModle           http://www.expasy.org/swissmod
Make Your Work Easy
Professional softwares

 Geneious                     : Local and web(NCBI) based
 CLC DNA Workbench            : Local & web based DNA analysis
 CLC protien Workbench        : Local & web based DNA analysis
 Serial Cloner                : Advance Primer Design
 Mega Blast                   : Homoly
 Gene pellete                 : Own/ Local Gene Library Builder
 Total lab                    : Protien structure analyzer
Freeware

 MB analysis      : DNA analysis
 Anthe Prot       : Protein-structure analysis
 Blast viewer     : Blast result analysis (NCBI tool)
 Cn3D             : Protein-structure analysis (web based)
 SNPphos          : SNP search from web
 Primer3          : Primer design (NCBI based)
 Oligo analysis   : Primer analyzer
 Bandleader       : Gel image analysis
 Hyphy 2          : Phylogenetic Tree
Informal presentation on bioinformatics
Informal presentation on bioinformatics
To Run With Bioinformatics
Unknown gene

                                      Homology Searching
                                      Prediction of mRNA
                                      Prediction of Protein


                 Unknown Protein

                                      Homology Searching
                                      Prediction of Structure
                                      Prediction of Function


              Predicted Functional Protein



Drug Design       New Invention           New Variety
Informal presentation on bioinformatics
Step-1: Open BLAST Homepage




                              Click the BLASTn button
Step-2: Browse BLASTn Server

                               Paste your Sequence Here



                                      Choose NCBI from the
                                      Choose Database pull-
                                          down menu.




                                     Click the BLAST! button
                                            (and wait)
Step-3: The BLAST intermediate result page




                                             Click Format Button
Step-3: Here is Your Result Now Analyze it with Your Biochemistry Knowledge




                                                        Graphical View
Career in Bioinformatics
           for different stream students
Life Sciences:                            Applied Science:
Scientific Curator, Gene Analyst, Protein Structural analyst, Molecular Modeler,
Analyst, Phylogenitist, Research Scientist Bio-statistician, Bio-mechanics, Database
/ Associate.                               programmer.

Computer Science /                        Pharmaceutial Science:
Engineering:                              Cheminformatician, Pharmacogenetician,
                                          Pharmacogenomics Research Scientist /
Data base programmer, Bio-informatics     Associate.
software developer, Computational
biologist, Network Administrator /
Analyst.
Informal presentation on bioinformatics
•   Accelrys                                       •   Key Genomics
•   Berkeley Lab                                   •   Laboratory for Personalized Medicine (LPM)
•   BG Medicine                                    •   Lilly Singapore Centre for Drug Discovery
•   BioCOS Life Sciences                           •   Nagarajan Lab, Washington University
•   Biolog, Inc.                                   •   NewLink Genetics
•   Center for Clinical Epidemiology and           •   Roche NimbleGen, Inc.
    Biostatistics                                  •   Roger Williams University - Biology Department
•   Curagen Corporation                            •   SAIC Frederick
•   Delft University of Technology                 •   Stratagene
•   dictyBase                                      •   Synamatix Sdn Bhd
•   European Bioinformatics Institute (EMBL-EBI)   •   The Broad Institute of MIT and Harvard
•   Fresno State University                        •   The CME Group Inc
•   GE Healthcare                                  •   University College Dublin
•   Gulfstream Bioinformatics                      •   University of Florida, Bioinformatics Faculty
•   Harvard Medical School                         •   University of Pittsburgh Bioinformatics Analysis
•   Iconix Biosciences                                 Core
•   Invitrogen
•   J. Craig Venter Institute
•   Karolinska Institutet
Informal presentation on bioinformatics
• Bioinformatics is a new exciting area of science.
• Research and development in this area does not
  require huge funding
• it requires is a high speed Internet connectivity with
  a few powerful computers and a team of enthusiastic
  talented people.
Bioinformatics Potential in BD
           by AR Shikder, PhD
• Development of a World Class Bioinformatics
  Institute in BD with BB scientists: As many
  Bangladeshi scientists are well placed in
  various prestigious institutions almost all over
  the world, we could capitalize this opportunity
  and develop a world class bioinformatics
  institute in Bangladesh.
A Student Survival Guideline




Dept. of Biochemistry & Molecular Biology
University of Dhaka , Dhaka, Bangladesh
What to Do ?




Read books
Follow Lectures From Famous University
Practice in computer Lab
Regular Workshop
Group Discussion
Introduction to Bioinformatics
            Arthur M. Lesk, University of Cambridge

     Bioinformatics For Dummies®, 2nd Edition
    by Jean-Michel Claverie,PhD and Cedric Notredame,PhD

                       BIOINFORMATICS
     A Practical Guide to the Analysis of Genes and Proteins

Andreas D. Baxevanis, National Human Genome Research Institute
 B. F. Francis Ouellette, University of British Columbia, Canada

   Bioinformatics : Sequence & Genome Analysis
                        David W. Mount

               Bioinformatics Technologies
    Yi-Ping Phoebe Chen (Ed.) , Deakin University, Australia
Bioinformatics:
              genes, proteins and computers
  Christine Orengo ; David Jones ; Janet Thornton - UK

        Beginning Perl for Bioinformatics
                     James Tisdall

      Bioinformatics Biocomputing and Perl
Michael Moorhouse, The Netherlands ; Paul Barry, Ireland

          Foundations of Systems Biology
                edited by Hiroaki Kitano

                   Bioinformatics
   Andrzej Polanski , Department of Computer Sciences
        Silesian University of Technology, Poland

   Developing Bioinformatics Computer Skills
              Cynthia Gibas ; Per Jambeck
Follow Lectures From Famous University




            Open Google webpage
            Find Lecture on “ Introduction to Bioinformatics”
            Enjoy The Lectures in pdf OR ppt format
Practice in computer Lab


Browse website
Use Bioinformatics tools
Take a look on Web based books
Ask Help from teachers
Try to help each other
Regular Workshop



We all are teacher & Learner here
Each of us will take a topic and study with it
After a complete study we will share our knowledge with others




        We (who are interested) are already working on it
Group Discussion



You Know very well What it is
Presented By a.IDEA.master
Informal presentation on bioinformatics

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Informal presentation on bioinformatics

  • 1. Informal Presentation on Munsi Md. Shahiuzzaman Atai Rabby 4th year, FH- 302 4th year, SH-307
  • 2. Realm of Introduction Bioinformatics Career in Our Plan Bioinformatics
  • 3. What is Bioinformatics? Bioinformatics represents a new, growing area of science that uses computational approaches to answer biological questions. •Use computer technologies and statistical methods •Manage and analyze a huge volume of biological data
  • 4. • originated from biology and informatics • Informatics means analysis of information • Bioinformatics is the analysis of biological information
  • 6. Correlated subjects Biology Biochemistry Molecular Biology Microbiology Genetic engineering Mathematics Statistics Computer science.
  • 7. Requirements for Bioinformatics research • Biological background • Computer knowledge • Internet browsing experience • Creativity
  • 8. Route to become Bioinformatician Biology Computer C O B M I P O U L T O E G R Y Bioinformatician
  • 11. Lab apparatus WebPages Software Computer tools
  • 12. Analyze huge volume of data • Don’t need expensive wet lab • Same research can be repeated many times • No adverse effect • Time saving
  • 13. In respect of Biochemistry & Molecular Biology
  • 14. DNA Sequence analysis  Catching Errors  Removing vector sequences  Computing/Verifying a Restriction Map  Designing PCR Primers  Analyzing DNA Composition  Establishing the G+C content of your sequence  Finding internal repeats in your sequence  Identifying genome-specific repeats in your sequence  Finding Protein-Coding Regions  ORFing your DNA sequence  Analyzing your DNA sequence with GeneMark  Finding internal exons in vertebrate genomic sequences  Complete gene parsing for eukaryotic genomes  Assembling Sequence Fragments  Managing large sequencing projects
  • 15. Working with a Single Protein Sequence  Predicting the main physico-chemical properties of a protein  Digesting a protein in a computer  Doing Primary Structure Analysis  Looking for transmembrane segments  Looking for coiled-coil regions  Predicting Post-Translational Modifications in Your protein  Finding Known Domains in Your Protein  Discovering New Domains in Your Proteins
  • 16. RNA analysis structure prediction function prediction translation discovery
  • 17. Practical Examples  Genome annotation In the context of genomics, annotation is the process of marking the genes and other biological features in a DNA sequence.  Computational evolutionary biology build complex computational models of populations to predict the outcome of the system over time track and share information on an increasingly large number of species and organisms  Biodiversity  Analysis of gene expression  Analysis of regulation of the cell cycle.  Analysis of protein expression  Prediction of protein structure  drug design  predict function of unknown protein  predict reaction of unknown protein with enzymes  working with unknown protein in research
  • 18. Practical Examples …  High-throughput image analysis • DNA mapping • RFLP • Chromosome walking • Restriction mapping • Fingerprinting etc.  Genetic Disease analysis  Analysis of mutations in cancer  Uses of Bioinformatics in agriculture  Application of Remote Sensing and GIS for agriculture Evolutionary studies Crop improvement Insect resistance Improve nutritional quality Development of Drought resistance varieties
  • 20.  PubMed Reaserch information retrival and analysis  Online Mendelian Inheritance in Man (OMIM) Catalog of human genes and genetic disorders, with links to associated literature references, sequence records, BLAST: and related databases. maps, The Basic Local Alignment Search Tool for  Protein Function Analysis comparing gene and protein Algorithms: blastn, megablast,  Compare your protein sequence to the discontiguous derived) protein psi- secondary (or megablast ,blastp, blast, phi-blast,tblastn ,tblastx  Databases that contain information on motifs, signatures and protein domains  Homology and Similarity Tools Used to identify similarities between novel query sequences of unknown structure and function with known database  Make specific primers with Primer-BLAST
  • 21.  Structural Analysis Compare structures with the known structure databases  Sequence Analysis Evolutionary analysis, identification of mutations, hydropathy regions, CpG islands and Former Famous tool for similarity searching compositional biases  FASTA A database search tool used to compare a nucleotide or peptide sequence to a sequence database  EMBOSS Sequence alignment : database searching with sequence patterns, protein motif identification and domain analysis, nucleotide sequence pattern analysis, codon usage analysis for small genomes, and much more.
  • 22.  Clustalw It produces biologically meaningful multiple sequence alignments , calculates the best match for the selected sequences, and lines them up so that the identities, similarities and differences can be seen.  RasMol Display the structure of DNA, proteins, and smaller molecules. Protein Explorer, a derivative of RasMol, is an easier to use program.  CDTree Classify protein sequences and investigating their evolutionary relationships  ProSplign Utility for computing alignment of proteins to genomic nucleotide sequence. Specifically accounts for introns and splice signals.  Splign A utility for computing cDNA-to-Genomic sequence alignments.
  • 23.  BLAST Link (BLink) A link option on protein records that displays the results of a pre-computed BLAST search of that protein against all other protein sequences . Huge Capability to working with DNA database  Open Mass Spectrometry Search Algorithm Local Database, Restriction Include : Making (OMSSA) Search Efficient search engine for identifyingPrimer Design & spectra by searching Mapping, MS/MS peptide Analysis, Homology libraries of known protein sequences. SNP Searching, Protein structure Searching, prediction from DNA, Mutation detection  Genome Workbench An integrated application for viewing and analyzing sequence data.  VecScreen System for quickly identifying segments of a nucleic acid sequence that may be of vector origin.  Digital Differential Display (DDD) A tool for comparing EST profiles in order to identify genes with significantly different expression levels.
  • 24.  Electronic PCR (e-PCR) e-PCR looks for potential STSs in DNA sequences by searching for subsequences that closely match the PCR primers and have the correct order, orientation, and spacing that could represent the PCR primers used to generate known STSs.  Cn3D A stand-alone application for viewing 3-dimensional structures from NCBI  PSSM Viewer Allows users to display, sort, subset and download position-specific score matrices (PSSMs) either from CDD records or from (PSI)-BLAST  Vector Alignment Search Tool (VAST) A computer algorithm that identifies similar protein 3-dimensional structures.  Conserved Domain Search Service (CD Search) Identifies the conserved domains present in a protein sequence.
  • 25.  Database of Genotypes and Phenotypes (dbGaP) Archives and distributes the results of studies that have investigated the interaction of genotypes and phenotypes.  Genetic Codes Displays the genetic codes for organisms in the Taxonomy database in tables and on a taxonomic tree.  Concise Microbial Protein BLAST A specialized BLAST service in which the queried database consists of all proteins from complete microbial (prokaryotic) genomes.  Genome ProtMap Maps each protein from a COG, or in the case of viruses a VOG, back to its genome, and displays all the genomic segments coding for members of this particular group of related proteins.
  • 26.  Online Mendelian Inheritance in Animals (OMIA)  PubChem Structure Search PubChem Structure Search allows the PubChem Compound Database to be queried by chemical structure or chemical structure pattern.  SNP Database Specialized Search Tools A variety of tools are available for searching the SNP database, allowing search by genotype, method, population, submitter, markers and sequence similarity using BLAST.  Viral Genotyping Tool This tool helps identify the genotype of a viral sequence.  BioAssay Services  Taxonomy Common Tree Generates a taxonomic tree for a selected group of organisms
  • 28. Table : Genome sequence databases. Database Description URL An annotated collection of all publicly GenBank available nucleotide and protein http://www.ncbi.nlm.ni h.gov sequences Curated protein sequence database SWISS-PROT with a high level of annotation http://www.expasy.org /sport Genomes online database – a listing of completed and ongoing genome GOLD http://www.genomeson line.org projects Kyoto encyclopedia of genes and genomes – integrated suite of http://www.genome.ad .jp/kegg KEGG databases on genes, proteins, and metabolic pathways Integrated database for the analysis BIOSILICO of metabolism and compound http://biosilico.kaist.ac. kr structures
  • 29. Table : The existing research on bioinformatics that has applied machine learn-ing techniques. Research Area Application Reference http://www.ncbi.nlm.nih.gov/BL AST/ Sequence alignment BLAST, FASTA http://www.ebi.ac.uk/fasta33/ ClustalWMultAlin http://www.ebi.ac.uk/clustalw/ Multiple sequence alignment DiAlign http://prodes.toulouse.inra.fr/mult alin http://www.genomatix.de/cgi-bin/dialign/dialign.pl Genscan http://genes.mit.edu/GENSCAN.h tml Gene finding GenomeScanGene http://genes.mit.edu/genomescan/ Mark http://www.ebi.ac.uk/genemark/ http://www.sanger.ac.uk/Software /Pfam/ Protein domain analy-sis and Pfam http://www.blocks.fhcrc.org/ identification BLOCKSProDom http://prodes.toulouse.inra.fr/prod om/current/html Gibbs Sampler http://bayesweb.wadsworth.org/gi bbs/gibbs.html Pattern identification AlignACE http://atlas.med.harvard.edu/cgi-bin/alignace.pl MEME http://meme.sdsc.edu/meme/webs ite/intro.html http://www.embl-heidelberg.de/predictprotein/ pre- PredictProtein dictprotein.html Protein folding predic-tion SwissModle http://www.expasy.org/swissmod
  • 31. Professional softwares  Geneious : Local and web(NCBI) based  CLC DNA Workbench : Local & web based DNA analysis  CLC protien Workbench : Local & web based DNA analysis  Serial Cloner : Advance Primer Design  Mega Blast : Homoly  Gene pellete : Own/ Local Gene Library Builder  Total lab : Protien structure analyzer
  • 32. Freeware  MB analysis : DNA analysis  Anthe Prot : Protein-structure analysis  Blast viewer : Blast result analysis (NCBI tool)  Cn3D : Protein-structure analysis (web based)  SNPphos : SNP search from web  Primer3 : Primer design (NCBI based)  Oligo analysis : Primer analyzer  Bandleader : Gel image analysis  Hyphy 2 : Phylogenetic Tree
  • 35. To Run With Bioinformatics
  • 36. Unknown gene Homology Searching Prediction of mRNA Prediction of Protein Unknown Protein Homology Searching Prediction of Structure Prediction of Function Predicted Functional Protein Drug Design New Invention New Variety
  • 38. Step-1: Open BLAST Homepage Click the BLASTn button
  • 39. Step-2: Browse BLASTn Server Paste your Sequence Here Choose NCBI from the Choose Database pull- down menu. Click the BLAST! button (and wait)
  • 40. Step-3: The BLAST intermediate result page Click Format Button
  • 41. Step-3: Here is Your Result Now Analyze it with Your Biochemistry Knowledge Graphical View
  • 42. Career in Bioinformatics for different stream students
  • 43. Life Sciences: Applied Science: Scientific Curator, Gene Analyst, Protein Structural analyst, Molecular Modeler, Analyst, Phylogenitist, Research Scientist Bio-statistician, Bio-mechanics, Database / Associate. programmer. Computer Science / Pharmaceutial Science: Engineering: Cheminformatician, Pharmacogenetician, Pharmacogenomics Research Scientist / Data base programmer, Bio-informatics Associate. software developer, Computational biologist, Network Administrator / Analyst.
  • 45. Accelrys • Key Genomics • Berkeley Lab • Laboratory for Personalized Medicine (LPM) • BG Medicine • Lilly Singapore Centre for Drug Discovery • BioCOS Life Sciences • Nagarajan Lab, Washington University • Biolog, Inc. • NewLink Genetics • Center for Clinical Epidemiology and • Roche NimbleGen, Inc. Biostatistics • Roger Williams University - Biology Department • Curagen Corporation • SAIC Frederick • Delft University of Technology • Stratagene • dictyBase • Synamatix Sdn Bhd • European Bioinformatics Institute (EMBL-EBI) • The Broad Institute of MIT and Harvard • Fresno State University • The CME Group Inc • GE Healthcare • University College Dublin • Gulfstream Bioinformatics • University of Florida, Bioinformatics Faculty • Harvard Medical School • University of Pittsburgh Bioinformatics Analysis • Iconix Biosciences Core • Invitrogen • J. Craig Venter Institute • Karolinska Institutet
  • 47. • Bioinformatics is a new exciting area of science. • Research and development in this area does not require huge funding • it requires is a high speed Internet connectivity with a few powerful computers and a team of enthusiastic talented people.
  • 48. Bioinformatics Potential in BD by AR Shikder, PhD • Development of a World Class Bioinformatics Institute in BD with BB scientists: As many Bangladeshi scientists are well placed in various prestigious institutions almost all over the world, we could capitalize this opportunity and develop a world class bioinformatics institute in Bangladesh.
  • 49. A Student Survival Guideline Dept. of Biochemistry & Molecular Biology University of Dhaka , Dhaka, Bangladesh
  • 50. What to Do ? Read books Follow Lectures From Famous University Practice in computer Lab Regular Workshop Group Discussion
  • 51. Introduction to Bioinformatics Arthur M. Lesk, University of Cambridge Bioinformatics For Dummies®, 2nd Edition by Jean-Michel Claverie,PhD and Cedric Notredame,PhD BIOINFORMATICS A Practical Guide to the Analysis of Genes and Proteins Andreas D. Baxevanis, National Human Genome Research Institute B. F. Francis Ouellette, University of British Columbia, Canada Bioinformatics : Sequence & Genome Analysis David W. Mount Bioinformatics Technologies Yi-Ping Phoebe Chen (Ed.) , Deakin University, Australia
  • 52. Bioinformatics: genes, proteins and computers Christine Orengo ; David Jones ; Janet Thornton - UK Beginning Perl for Bioinformatics James Tisdall Bioinformatics Biocomputing and Perl Michael Moorhouse, The Netherlands ; Paul Barry, Ireland Foundations of Systems Biology edited by Hiroaki Kitano Bioinformatics Andrzej Polanski , Department of Computer Sciences Silesian University of Technology, Poland Developing Bioinformatics Computer Skills Cynthia Gibas ; Per Jambeck
  • 53. Follow Lectures From Famous University Open Google webpage Find Lecture on “ Introduction to Bioinformatics” Enjoy The Lectures in pdf OR ppt format
  • 54. Practice in computer Lab Browse website Use Bioinformatics tools Take a look on Web based books Ask Help from teachers Try to help each other
  • 55. Regular Workshop We all are teacher & Learner here Each of us will take a topic and study with it After a complete study we will share our knowledge with others We (who are interested) are already working on it
  • 56. Group Discussion You Know very well What it is