Assessing computational tools for the discovery of transcription factor binding sites.

TitleAssessing computational tools for the discovery of transcription factor binding sites.
Publication TypeJournal Article
Year of Publication2005
AuthorsTompa M, Li N, Bailey TL, Church GM, De Moor B, Eskin E, Favorov AV, Frith MC, Fu Y, Kent JW, Makeev VJ, Mironov AA, Noble W S, Pavesi G, Pesole G, Régnier M, Simonis N, Sinha S, Thijs G, van Helden J, Vandenbogaert M, Weng Z, Workman C, Ye C, Zhu Z
JournalNat Biotechnol
Volume23
Issue1
Pagination137-44
Date Published2005 Jan
ISSN1087-0156
KeywordsAmino Acid Motifs, Animals, Binding Sites, Computational Biology, Databases, Protein, Drosophila, Fungal Proteins, Gene Expression, Humans, Internet, Mice, Reproducibility of Results, Software, Transcription, Genetic
Abstract

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.

DOI10.1038/nbt1053
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/15637633?dopt=Abstract
Alternate JournalNat. Biotechnol.
PubMed ID15637633