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Join our workshop on Bioinformatics, where you'll learn about the computer-assisted management of biological data. We will cover crucial topics including sequence analysis, database utilization, algorithm development, and new sequencing technologies. This course aims to introduce participants to various databases and tools, foster independence in using available resources, and enhance critical evaluation skills for web tools. Engage in discussions about the needs of modern biologists and gain insights into front-line research projects, all while enjoying the learning experience.
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Workshop in Bioinformatics2009 Class 2 Michal Linial Room A-515 michall@cc.huji.ac.il
Workshop in Bioinformatics (2) Bioinformatics is the computer-assisted data management discipline : Gather, store, analyze, integrate biological and genetic information (data), and represent this information efficiently.
Bioinformatics - two faces • Analysis and interpretation of various types of data (sequences nt, aa, domains, signatures, structures, RNAs) • Development of new algorithms / statistics to assess biological information • Development and implementation of tools for access and management different types of information (DB, Models, Maps..)
What do you mean by “data”… Raw (primary) Processed (analyzed) Integrated (systems)
What do you mean by “data”… Raw (primary) Data Sequences RNA DNA Genome Variations SNP Mutations
3’ Template G C A T G C 5’ 5’ Primer dATP dCTP dGTP dTTP ddCTP dATP dCTP dGTP dTTP ddTTP dATP dCTP dGTP dTTP ddATP dATP dCTP dGTP dTTP ddGTP GddC GCddA GCAddT ddG GCATGddC GCATddG DNA Sequencing “Classical” (Sanger)
G T short _ _ C A G C A T G C + + long capillary unit New technology “454” technology (not in this class) ABI 3700 96x700 bases
What do you mean data… Raw (primary) Data Sequences RNA DNA Genome Variations SNP Mutations
Shotgun Sequencing Isolate Chromosome ShearDNA into Fragments Clone into Seq. Vectors Sequence
Shotgun Sequencing Assembled Sequence Sequence Chromatogram Send to Computer
Deep Sequencing New fast and cheap methods for sequencing Replacing ? ‘classical’ Sanger sequencing (not covered in this class but introduced later)
The main topics • Introduction to databases • Working with sequences / Pairwise comparison • Database similarity searching • Profile building and searching • Functional resources • Genomics • Proteomics • Integrative resources • Introduction to systems biology • More…
The goal of the course • Introduction to variety of databases and tools • Independence in working with available resources • Critical evaluation of web tools • Exposure to the main needs of modern biologist • Leverage your research skills • Discussing key issues in “new biology” • Presenting front-line research projects based on BI ….but mainly fun