By Andreas Gogol-Döring,Knut Reinert
An Easy-to-Use study device for set of rules checking out and Development
Before the SeqAn venture, there has been in actual fact a scarcity of accessible implementations in series research, even for traditional initiatives. Implementations of wanted algorithmic elements have been both unavailable or challenging to entry in third-party monolithic software program items. Addressing those issues, the builders of SeqAn created a accomplished, easy-to-use, open resource C++ library of effective algorithms and information constructions for the research of organic sequences. Written by means of the founders of this venture, Biological series research utilizing the SeqAn C++ Library covers the SeqAn library, its documentation, and the helping infrastructure.
The first a part of the booklet describes the overall library layout. It introduces organic series research difficulties, discusses the good thing about utilizing software program libraries, summarizes the layout ideas and targets of SeqAn, information the most programming options utilized in SeqAn, and demonstrates the applying of those options in a number of examples. concentrating on the parts supplied by way of SeqAn, the second one half explores simple performance, series facts constructions, alignments, development and motif looking, string indices, and graphs. The final half illustrates functions of SeqAn to genome alignment, consensus series in meeting tasks, suffix array development, and more.
This convenient ebook describes a effortless library of effective info forms and algorithms for series research in computational biology. SeqAn allows not just the implementation of recent algorithms, but in addition the sound research and comparability of latest algorithms.
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