Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

HemoMIPs-Automated analysis and result reporting pipeline for targeted sequencing data

Philip Kleinert, Beth Martin, Martin Kircher*

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

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.

OriginalspracheEnglisch
Aufsatznummere1007956
ZeitschriftPLOS Computational Biology
Jahrgang16
Ausgabenummer6
ISSN1553-734X
DOIs
PublikationsstatusVeröffentlicht - 06.2020

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen

Fingerprint

Untersuchen Sie die Forschungsthemen von „HemoMIPs-Automated analysis and result reporting pipeline for targeted sequencing data“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren