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MuCor: mutation aggregation and correlation.
Kroll, Karl W; Eisfeld, Ann-Katherin; Lozanski, Gerard; Bloomfield, Clara D; Byrd, John C; Blachly, James S.
Afiliación
  • Kroll KW; Division of Hematology, Department of Internal Medicine.
  • Eisfeld AK; Department of Human Cancer Genetics and Molecular Virology.
  • Lozanski G; Department of Pathology, The Ohio State University, Columbus, OH 43210 and.
  • Bloomfield CD; Division of Hematology, Department of Internal Medicine, The Ohio State University James Comprehensive Cancer Center, Columbus, OH 43210, USA.
  • Byrd JC; Division of Hematology, Department of Internal Medicine, The Ohio State University James Comprehensive Cancer Center, Columbus, OH 43210, USA.
  • Blachly JS; Division of Hematology, Department of Internal Medicine, The Ohio State University James Comprehensive Cancer Center, Columbus, OH 43210, USA.
Bioinformatics ; 32(10): 1557-8, 2016 05 15.
Article en En | MEDLINE | ID: mdl-26803155
ABSTRACT
MOTIVATION There are many tools for variant calling and effect prediction, but little to tie together large sample groups. Aggregating, sorting and summarizing variants and effects across a cohort is often done with ad hoc scripts that must be re-written for every new project. In response, we have written MuCor, a tool to gather variants from a variety of input formats (including multiple files per sample), perform database lookups and frequency calculations, and write many types of reports. In addition to use in large studies with numerous samples, MuCor can also be employed to directly compare variant calls from the same sample across two or more platforms, parameters or pipelines. A companion utility, DepthGauge, measures coverage at regions of interest to increase confidence in calls. AVAILABILITY AND IMPLEMENTATION Source code is freely available at https//github.com/blachlylab/mucor and a Docker image is available at https//hub.docker.com/r/blachlylab/mucor/ CONTACT james.blachly@osumc.eduSupplementary data Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Mutación Límite: Animals / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Mutación Límite: Animals / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2016 Tipo del documento: Article