Biological Sequence Analysis Using the SeqAn C++ Library

Andreas Gogol-Döring, Knut Reinert

June 14, 2017 by CRC Press
Reference - 329 Pages - 47 B/W Illustrations
ISBN 9781138112827 - CAT# K35211
Series: Chapman & Hall/CRC Mathematical and Computational Biology

USD$79.95

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Features

  • Offers a collection of functional, well-designed algorithmic components
  • Illustrates the advantage of using a software library
  • Covers the design principles and programming techniques of SeqAn
  • Presents the components supplied by SeqAn, such as sequence data structures, pattern and motif searching, string indices, and graphs
  • Shows how SeqAn can be used to solve biological sequence problems, including genome alignment, consensus sequence computation, and the construction of a suffix array algorithm

Summary

An Easy-to-Use Research Tool for Algorithm Testing and Development

Before the SeqAn project, there was clearly a lack of available implementations in sequence analysis, even for standard tasks. Implementations of needed algorithmic components were either unavailable or hard to access in third-party monolithic software products. Addressing these concerns, the developers of SeqAn created a comprehensive, easy-to-use, open source C++ library of efficient algorithms and data structures for the analysis of biological sequences. Written by the founders of this project, Biological Sequence Analysis Using the SeqAn C++ Library covers the SeqAn library, its documentation, and the supporting infrastructure.

The first part of the book describes the general library design. It introduces biological sequence analysis problems, discusses the benefit of using software libraries, summarizes the design principles and goals of SeqAn, details the main programming techniques used in SeqAn, and demonstrates the application of these techniques in various examples. Focusing on the components provided by SeqAn, the second part explores basic functionality, sequence data structures, alignments, pattern and motif searching, string indices, and graphs. The last part illustrates applications of SeqAn to genome alignment, consensus sequence in assembly projects, suffix array construction, and more.

This handy book describes a user-friendly library of efficient data types and algorithms for sequence analysis in computational biology. SeqAn enables not only the implementation of new algorithms, but also the sound analysis and comparison of existing algorithms.

Visit SeqAn for more information.

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