Title |
NSeq: a multithreaded Java application for finding positioned nucleosomes from sequencing data
|
---|---|
Published in |
Frontiers in Genetics, January 2013
|
DOI | 10.3389/fgene.2012.00320 |
Pubmed ID | |
Authors |
Abhinav Nellore, Konstantin Bobkov, Elizabeth Howe, Aleksandr Pankov, Aaron Diaz, Jun S. Song |
Abstract |
We introduce NSeq, a fast and efficient Java application for finding positioned nucleosomes from the high-throughput sequencing of MNase-digested mononucleosomal DNA. NSeq includes a user-friendly graphical interface, computes false discovery rates (FDRs) for candidate nucleosomes from Monte Carlo simulations, plots nucleosome coverage and centers, and exploits the availability of multiple processor cores by parallelizing its computations. Java binaries and source code are freely available at https://github.com/songlab/NSeq. The software is supported on all major platforms equipped with Java Runtime Environment 6 or later. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 10% |
Spain | 1 | 5% |
Unknown | 17 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 7 | 35% |
Student > Ph. D. Student | 5 | 25% |
Other | 2 | 10% |
Professor | 2 | 10% |
Student > Master | 2 | 10% |
Other | 2 | 10% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 14 | 70% |
Biochemistry, Genetics and Molecular Biology | 5 | 25% |
Computer Science | 1 | 5% |