bioconda / packages / bioconductor-geneattribution 1.20.0

Identification of candidate genes associated with genetic variation


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v1.6.0
  • osx-64  v1.6.0
  • noarch  v1.20.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-geneattribution
conda install -c bioconda/label/gcc7 bioconductor-geneattribution
conda install -c bioconda/label/cf201901 bioconductor-geneattribution


Identification of the most likely gene or genes through which variation at a given genomic locus in the human genome acts. The most basic functionality assumes that the closer gene is to the input locus, the more likely the gene is to be causative. Additionally, any empirical data that links genomic regions to genes (e.g. eQTL or genome conformation data) can be used if it is supplied in the UCSC .BED file format.

© 2022 Anaconda, Inc. All Rights Reserved. (v2.36.2 f2f4cf0f) Legal | Privacy Policy