SpringerProtocols: Abstract: 12. Discovering Sequence Motifs

12. Discovering Sequence Motifs

By: Timothy L. Bailey³

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Sequence motif discovery algorithms are an important part of the computational biologist's toolkit. The purpose of motif discovery is to discover patterns in biopolymer (nucleotide or protein) sequences in order to better understand the structure and function of the molecules the sequences represent. This chapter provides an overview of the use of sequence motif discovery in biology and a general guide to the use of motif discovery algorithms. The chapter discusses the types of biological features that DNA and protein motifs can represent and their usefulness. It also defines what sequence motifs are, how they are represented, and general techniques for discovering them. The primary focus is on one aspect of motif discovery: discovering motifs in a set of unaligned DNA or protein sequences. Also presented are steps useful for checking the biological validity and investigating the function of sequence motifs using methods such as motif scanning—searching for matches to motifs in a given sequence or a database of sequences. A discussion of some limitations of motif discovery concludes the chapter.

Affiliation(s): (3) ARC Centre of Excellence in Bioinformatics, and Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia

Book Title: Bioinformatics: Data, Sequence Analysis and Evolution

Series: Methods in Molecular Biology | Volume: 452 | Pub. Date: May-01-2008 | Page Range: 231-251 | DOI: 10.1007/978-1-60327-159-2_12

Subject: Bioinformatics

Key Words: Motif discovery - sequence motif - sequence pattern - protein domain - multiple alignment - position-specific scoring matrix - PSSM - position-specific weight matrix - PWM - transcription factor binding site - transcription factor - promoter - protein features

References

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