NGmerge: merging paired-end reads via novel empirically-derived models of sequencing errors

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We provide a free and open-source program, NGmerge, that performs better than existing read merging programs. NGmerge is available on GitHub ( https://github.com/harvardinformatics/NGmerge ) under the MIT License; it is written in C and supported on Linux.

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John M. Gaspar

Merck & Co., Inc., Rahway, NJ, USA (United States)

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SHILAP Revista de lepidopterología

BMC Bioinformatics

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Harvard University

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John M. Gaspar (Sat,) studied this question.

synapsesocial.com/papers/69dd516c7808b00a4799cafb — DOI: https://doi.org/10.1186/s12859-018-2579-2

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

QIIME allows analysis of high-throughput community sequencing data· 2010 · 35,868 citations
Current practices and guidelines for clinical next-generation sequencing oncology testing· 2016 · 155 citations
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing· 2012 · 5,313 citations
Base-Calling of Automated Sequencer Traces Using <i>Phred.</i> II. Error Probabilities· 1998 · 5,549 citations
The nucleotide sequence of bacteriophage φX174· 1978 · 694 citations

NGmerge: merging paired-end reads via novel empirically-derived models of sequencing errors

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Cite this study

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