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NGS++: a library for rapid prototyping of epigenomics software tools

The development of computational tools to enable testing and analysis of high-throughput-sequencing data is essential to modern genomics research. However, although multiple frameworks have been developed to facilitate access to these tools, comparatively little effort has been made at implementing...

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Bibliographic Details
Published in:Bioinformatics 2013-08, Vol.29 (15), p.1893-1894
Main Authors: Nordell Markovits, Alexei, Joly Beauparlant, Charles, Toupin, Dominique, Wang, Shengrui, Droit, Arnaud, Gevry, Nicolas
Format: Article
Language:English
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Summary:The development of computational tools to enable testing and analysis of high-throughput-sequencing data is essential to modern genomics research. However, although multiple frameworks have been developed to facilitate access to these tools, comparatively little effort has been made at implementing low-level programming libraries to increase the speed and ease of their development. We propose NGS++, a programming library in C++11 specialized in manipulating both next-generation sequencing (NGS) datasets and genomic information files. This library allows easy integration of new formats and rapid prototyping of new functionalities with a focus on the analysis of genomic regions and features. It offers a powerful, yet versatile and easily extensible interface to read, write and manipulate multiple genomic file formats. By standardizing the internal data structures and presenting a common interface to the data parser, NGS++ offers an effective framework for epigenomics tool development. NGS++ was written in C++ using the C++11 standard. It requires minimal efforts to build and is well-documented via a complete docXygen guide, online documentation and tutorials. Source code, tests, code examples and documentation are available via the website at http://www.ngsplusplus.ca and the github repository at https://github.com/NGS-lib/NGSplusplus. nicolas.gevry@usherbrooke.ca or arnaud.droit@crchuq.ulaval.ca.
ISSN:1367-4803
1367-4811
1460-2059
DOI:10.1093/bioinformatics/btt312