This chapter is the longest in the book as it deals with both general principles and practical aspects of sequence and, to a lesser degree, structure analysis. Although these methods are not, in themselves, part of genomics, no reasonable genome analysis and annotation would be possible without understanding how these methods work and some practical experience with their use. Inappropriate use of sequence analysis procedures may result in numerous errors in genome annotation (we have already touched upon this subject in the previous chapter and further discuss it in Chapter 5). We attempted to strike a balance between generalities and specifics, aiming to give the reader a clear perspective of the computational approaches used in comparative and functional genomics, rather than discuss any one of these approaches in great detail. In particular, we refrained from any extensive discussion of the statistical basis and algorithmic aspects of sequence analysis because these can be found in several recent books on computational biology and bioinformatics (see ♦4.8) and, no less importantly, because we cannot claim advanced expertise in this area. We also tried not to duplicate the “click here”-type tutorials, which are available on many web sites. However, we deemed it important to point out some difficult and confusing issues in sequence analysis and warn the readers against the most common pitfalls.
CITATION STYLE
Koonin, E. V., & Galperin, M. Y. (2003). Principles and Methods of Sequence Analysis. In Sequence — Evolution — Function (pp. 111–192). Springer US. https://doi.org/10.1007/978-1-4757-3783-7_5
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