TFInfer: a tool for probabilistic inference of transcription factor activities

H. M. Shahzad Asif, Matthew D. Rolfe, Jeff Green, Neil D. Lawrence, Magnus Rattray, Guido Sanguinetti

Research output: Contribution to journalArticlepeer-review

Abstract

TFInfer is a novel open access, standalone tool for genome-wide inference of transcription factor activities from gene expression data. Based on an earlier MATLAB version, the software has now been extended in a number of ways. It has been significantly optimised in terms of performance, and it was given novel functionality, by allowing the user to model both time series and data from multiple independent conditions. With a full documentation and intuitive graphical user interface, together with an in-built data base of yeast and Escherichia coli transcription factors, the software does not require any mathematical or computational expertise to be used effectively.

Original languageEnglish
Pages (from-to)2635-2636
Number of pages2
JournalBioinformatics
Volume26
Issue number20
DOIs
Publication statusPublished - Oct 2010

Fingerprint

Dive into the research topics of 'TFInfer: a tool for probabilistic inference of transcription factor activities'. Together they form a unique fingerprint.

Cite this