TFInfer: a tool for probabilistic inference of transcription factor activities

被引：23
|
作者：
Asif, H. M. Shahzad [1 ]
Rolfe, Matthew D. [2 ]
Green, Jeff [2 ]
Lawrence, Neil D. [3 ]
Rattray, Magnus [3 ]
Sanguinetti, Guido [1 ]
机构：
[1] Univ Edinburgh, Sch Informat, Edinburgh EH8 9AB, Midlothian, Scotland
[2] Univ Sheffield, Dept Mol Biol & Biotechnol, Sheffield S10 2TN, S Yorkshire, England
[3] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England
来源：
BIOINFORMATICS | 2010年 / 26卷 / 20期
基金：
英国生物技术与生命科学研究理事会;
关键词：
COMPONENTS;
D O I：
10.1093/bioinformatics/btq469
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：2635 / 2636
页数：2
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