An Introduction To Sequence Comparison and Database Search

Bergen University, November 2015

Cedric Notredame


This course is a primer on sequence alignments. Its goal is to present an overview of the basic concepts of sequence alignments and some of their applications. The first two hours will be dedicated to molecular evolution. We will focus on the implications of molecular evolution on sequence variation. We will use these concepts to define homology. We will then see how specific mathematical models (the substitution matrices) have been derived in order to quantify the evolutionary relationship between sequences. The next two hours will be used to introduce the Needleman and Wunsch algorithm (Dynamic programming), a very basic algorithm that makes it possible to derive pairwise alignments from the sequences while using the substitution matrices. Over the following 2 hours, we will see how these pairwise alignment methods can be applied to database searches and we will develop the main concepts behind the BLAST algorithm. I will finally introduce the notion of multiple sequence alignment and show how a group of related sequences can be compared in order to infer common properties. We will then see the main principles behins two multiple sequence alignment package: ClustalW and T-Coffee.

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1BULECTUREPairwise comparisons in an evolutionary contextL
1 BU PRACTICALAnonymous Sequence AnalysisP
2BULECTUREIntroduction to Dynamic ProgrammingL
2 BUPRACTICALIntroduction to Dynamic ProgrammingP
3BULECTUREDatabase Searches with BLAST L
3 BU PRACTICALDatabase SearchesP
4BULECTUREMultiple Sequence AlignmentsL
4BU PRACTICALCombining Sequence and Structure InformationP


1. General: Claverie and Notredame, Bioinformatics for Dummies, 2007, Wiley

2. General: Lesk, Introduction to Bioinformatics

3. Algorithms: Durbin et al., Biological Sequence Analysis, 1999, Oxford Press

4. Algorithms: Tisdall, Begining Perl for Bioinformatics, 2001, O'Reilley

5. Evolution: Patthy, Protein Evolution, 2007, Blackwell

6. Evolution: Graur and Li, Fundamentals of Molecular Evolution, 2000, Sinauer Associates

This Entire Course Was Automatically Generated Using BED, the Bioinformatics Exercise Database. BED is a freeware available on request Cedric Notredame