Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
PEMapper and PECaller provide a simplified approach to whole-genome sequencing
Ist Teil von
Proceedings of the National Academy of Sciences - PNAS, 2017-03, Vol.114 (10), p.E1923-E1932
Ort / Verlag
United States: National Academy of Sciences
Erscheinungsjahr
2017
Quelle
MEDLINE
Beschreibungen/Notizen
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 a highly computationally efficient way, with the single goal of enabling whole-genome sequencing at scale. In addition to improved computational efficiency, we implement a statistical framework that allows for a base by base error model, allowing this package to perform as well or better than the widely used Genome Analysis Toolkit (GATK) in all key measures of performance on human whole-genome sequences.