Assessing computational tools for the discovery of transcription factor binding sites


Autoria(s): Tompa, Martin; Li, Nan; Bailey, Timothy L.; Church, George M.; De Moor, Bart; Eskin, Eleazar; Favorov, Alexander V.; Frith, Martin C.; Fu, Yutao; Kent, W.James; Makeev, Vsevolod J.; Mironov, Andrei A.; Noble, William Stafford; Pavesi, Giulio; Pesole, Graziano; Regnier, Mireille; Simonis, Nicolas; Sinha, Saurabh; Thijs, Gert; van Helden, Jacques; Vandenbogaert, Mathias; Weng, Zhiping; Workman, Christopher; Ye, Chun; Zhu, Zhou
Data(s)

01/01/2005

Resumo

The prediction of regulatory elements is a problem where computational methods offer great hope. Over the past few years, numerous tools have become available for this task. The purpose of the current assessment is twofold: to provide some guidance to users regarding the accuracy of currently available tools in various settings, and to provide a benchmark of data sets for assessing future tools.

Identificador

http://espace.library.uq.edu.au/view/UQ:76371

Idioma(s)

eng

Publicador

Nature Publishing Group

Palavras-Chave #Biotechnology & Applied Microbiology #Genome Annotation Assessment #Regulatory Elements #Prediction #Sequences #Genes #Dna #C1 #280207 Pattern Recognition #780105 Biological sciences
Tipo

Journal Article