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ABSTRACT: Background
High-throughput technologies such as ChIP-sequencing, RNA-sequencing, DNA sequencing and quantitative metabolomics generate a huge volume of data. Researchers often rely on functional enrichment tools to interpret the biological significance of the affected genes from these high-throughput studies. However, currently available functional enrichment tools need to be updated frequently to adapt to new entries from the functional database repositories. Hence there is a need for a simplified tool that can perform functional enrichment analysis by using updated information directly from the source databases such as KEGG, Reactome or Gene Ontology etc.Results
In this study, we focused on designing a command-line tool called GeneSCF (Gene Set Clustering based on Functio
SUBMITTER: Subhash S
PROVIDER: S-EPMC5020511 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature