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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Professional
Produkt-Hinweis
Illustrationen
47 s/w Abbildungen, 41 s/w Tabellen
41 Tables, black and white; 47 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-4200-7623-3 (9781420076233)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Co-founder of the SeqAn project, Andreas Gogol-Doering works at the Max Delbrueck Center for Molecular Medicine in Berlin, Germany. He was previously a research associate in the Algorithmic Bioinformatics group in the Department of Computer Science at Freie Universitaet Berlin in Germany.
Co-founder of the SeqAn project, Knut Reinert is a professor and head of the Algorithmic Bioinformatics group in the Department of Computer Science at Freie Universitaet Berlin in Germany.
The SeqAn Project. Library Contents. Applications. Bibliography. Index.
