FUN-L: gene prioritization for RNAi screens

Bioinformatics. 2015 Jun 15;31(12):2052-3. doi: 10.1093/bioinformatics/btv073. Epub 2015 Feb 8.


Motivation: Most biological processes remain only partially characterized with many components still to be identified. Given that a whole genome can usually not be tested in a functional assay, identifying the genes most likely to be of interest is of critical importance to avoid wasting resources.

Results: Given a set of known functionally related genes and using a state-of-the-art approach to data integration and mining, our Functional Lists (FUN-L) method provides a ranked list of candidate genes for testing. Validation of predictions from FUN-L with independent RNAi screens confirms that FUN-L-produced lists are enriched in genes with the expected phenotypes. In this article, we describe a website front end to FUN-L.

Availability and implementation: The website is freely available to use at

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Computational Biology / methods*
  • Data Mining / methods*
  • Gene Regulatory Networks*
  • Humans
  • Phenotype
  • RNA Interference*
  • Software*