期刊
BIOINFORMATICS
卷 37, 期 14, 页码 2055-2057出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btab199
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类别
资金
- National Institutes of Health [1R01DK118631, 1R03HD098552, 5UM1HG008898-04, 1OT2OD00 2751-01, HHSN26817HV00002R]
- NHGRI [3UM1HG008901-03S1, 3UM1HG008901-04S2]
This study introduces muCNV, a software developed for joint genotyping of over 100,000 samples, showing high efficiency and accuracy in population-scale genotyping. Pilot results demonstrate very low Mendelian inconsistencies, with computational efficiencies highlighted when applied to large-scale projects in the cloud.
Motivation: There are high demands for joint genotyping of structural variations with short-read sequencing, but efficient and accurate genotyping in population scale is a challenging task. Results: We developed muCNV that aggregates per-sample summary pileups for joint genotyping of >100 000 samples. Pilot results show very low Mendelian inconsistencies. Applications to large-scale projects in cloud show the computational efficiencies of muCNV genotyping pipeline.
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