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Article

PEMapper and PECaller provide a simplified approach to whole-genome sequencing.

Proceedings of the National Academy of Sciences of the United States of America - 7 Mar 2017

Johnston H Richard, Chopra Pankaj, Wingo Thomas S, Patel Viren, Epstein Michael P, Mulle Jennifer G, Warren Stephen T, Zwick Michael E, Cutler David J

Abstract excerpt

The analysis of human whole-genome sequencing data presents significant computational challenges. The sheer size of datasets places an enormous burden on computational, disk array, and network resources. Here, we present an integrated computational package, PEMapper/PECaller, that was designed specifically to minimize the burden on networks and disk arrays, create output files that are minimal in size, and run in...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 28223510
DOI: 10.1073/pnas.1618065114
PMCID: PMC5347547

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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