Open Accessvcf2gwas: 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 , scripting language , workflow , mit license , software , source code , pipeline (software) , programming language , world wide web , information retrieval , 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.