Biological Sequence Analysis Using the Seqan C++ Library

Informationen zum Autor Co-founder of the SeqAn project, Andreas Gogol-Döring works at the Max Delbrück 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 Universität 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 Universität Berlin in Germany. Klappentext The SeqAn project was initiated to offer quick access to the algorithms needed by researchers in computational biology and bioinformatics. A key to that invaluable resource! this book provides a highly accessible way for the rapid prototyping of algorithms in the field. For bioinformaticians! it serves as a guide for using algorithmic components already present in SeqAn. For expert programmers of C++ in sequence analysis! the book gives in-depth insight into the library's design principles and enables programmers to integrate their own algorithmic components into SeqAn. The library is available at www.seqan.de Zusammenfassung The SeqAn project was initiated to offer access to the algorithms needed by researchers in computational biology and bioinformatics. This book helps you in rapid prototyping of algorithms in the field. It is suitable for bioinformaticians. Inhaltsverzeichnis The SeqAn Project. Library Contents. Applications. Bibliography. Index.

Product details

• Authors: Andreas (Institut Fur Informatik Gogol-Doring, Andreas Reinert Gogol-Doring, Andreas Gogol-Döring, Knut Reinert, Reinert Knut
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 11.11.2009
• EAN: 9781420076233
• ISBN: 978-1-4200-7623-3
• No. of pages: 330
• Series: Chapman & Hall/CRC Computational Biology Series
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, COMPUTERS / Programming / Algorithms, COMPUTERS / Programming / Games, computer science, algorithms and data structures, Biology, life sciences, Algorithms & data structures