TY - JOUR
T1 - HemoMIPs-Automated analysis and result reporting pipeline for targeted sequencing data
AU - Kleinert, Philip
AU - Martin, Beth
AU - Kircher, Martin
N1 - Publisher Copyright:
© 2020 Public Library of Science. All rights reserved.
PY - 2020/6
Y1 - 2020/6
N2 - Targeted sequencing of genomic regions is a cost- A nd time-efficient approach for screening patient cohorts. We present a fast and efficient workflow to analyze highly imbalanced, targeted next-generation sequencing data generated using molecular inversion probe (MIP) capture. Our Snakemake pipeline performs sample demultiplexing, overlap paired-end merging, alignment, MIP-arm trimming, variant calling, coverage analysis and report generation. Further, we support the analysis of probes specifically designed to capture certain structural variants and can assign sex using Y-chromosome-unique probes. In a userfriendly HTML report, we summarize all these results including covered, incomplete or missing regions, called variants and their predicted effects. We developed and tested our pipeline using the hemophilia A & B MIP design from the "My Life, Our Future" initiative. HemoMIPs is available as an open-source tool on GitHub at: Https://github.com/kircherlab/hemoMIPs.
AB - Targeted sequencing of genomic regions is a cost- A nd time-efficient approach for screening patient cohorts. We present a fast and efficient workflow to analyze highly imbalanced, targeted next-generation sequencing data generated using molecular inversion probe (MIP) capture. Our Snakemake pipeline performs sample demultiplexing, overlap paired-end merging, alignment, MIP-arm trimming, variant calling, coverage analysis and report generation. Further, we support the analysis of probes specifically designed to capture certain structural variants and can assign sex using Y-chromosome-unique probes. In a userfriendly HTML report, we summarize all these results including covered, incomplete or missing regions, called variants and their predicted effects. We developed and tested our pipeline using the hemophilia A & B MIP design from the "My Life, Our Future" initiative. HemoMIPs is available as an open-source tool on GitHub at: Https://github.com/kircherlab/hemoMIPs.
UR - http://www.scopus.com/inward/record.url?scp=85086681942&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1007956
DO - 10.1371/journal.pcbi.1007956
M3 - Journal articles
C2 - 32497118
AN - SCOPUS:85086681942
SN - 1553-734X
VL - 16
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 6
M1 - e1007956
ER -