vcf2gwas: Python API for comprehensive GWAS analysis using GEMMA | Zendy

Frank Vogt | Zendy; Gautam Shirsekar | Zendy; Detlef Weigel | Zendy

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vcf2gwas: Python API for comprehensive GWAS analysis using GEMMA

Author(s) -

Frank Vogt,

Gautam Shirsekar,

Detlef Weigel

Publication year - 2021

Publication title -

bioinformatics

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab710

Subject(s) - computer science , python (programming language) , disk formatting , workflow , scripting language , source code , mit license , software , pipeline (software) , programming language , operating system , database

Genome-wide association study (GWAS) requires a researcher to perform a multitude of different actions during analysis. From editing and formatting genotype and phenotype information to running the analysis software to summarizing and visualizing the results. A typical GWAS workflow poses a significant challenge of utilizing the command-line, manual text-editing and requiring knowledge of one or more programming/scripting languages, especially for newcomers.

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