Springer Protocols: Abstract: 15. Detecting the Presence and Location of Selection in Proteins

15. Detecting the Presence and Location of Selection in Proteins

By: Tim Massingham³

Abstract

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Methods to detect the action of selection on proteins can now make strong predictions about its strength and location, but are becoming increasingly technical. The complexity of the methods makes it difficult to determine and interpret the significance of any selection detected. With more information being extracted from the data, the quality of the protein alignment and phylogeny used becomes increasingly important in assessing whether or not a prediction is merely a statistical artifact. Both data quality issues and statistical assessment of the results are considered.

Affiliation(s): (3) European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom

Book Title: Bioinformatics: Data, Sequence Analysis and Evolution

Series: Methods in Molecular Biology | Volume: 452 | Pub. Date: May-01-2008 | Page Range: 311-329 | DOI: 10.1007/978-1-60327-159-2_15

Subject: Bioinformatics

Key Words: Positive selection - maximum likelihood - molecular evolution - protein evolution - neutral theory - adaptation - phylogeny

References

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