MUGBAS: a species free gene-based programme suite for post-GWAS analysis

Stefano Capomaccio, Marco Milanesi, Lorenzo Bomba, Elia Vajana, Paolo Ajmone Marsan

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Genome Wide Association Studies between molecular markers and phenotypes are now routinely run in model and non-model species. However, tools to estimate the probability of association of functional units (e.g. genes) containing multiple markers are not developed for species other than humans. Here we introduce MUGBAS (MUlti species Gene-Based Association Suite), software that estimates the P-value of a gene using information on annotation, single marker GWA results and genotype. The software is species and annotation independent, fast, highly parallelized and ready for high-density marker studies.
Original languageEnglish
Pages (from-to)2380-2381
Number of pages2
JournalBioinformatics
Volume31
DOIs
Publication statusPublished - 2015

Keywords

  • GENOME-WIDE ASSOCIATION
  • TRAITS

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