Assessing Computational Tools for The Discovery of Transcription Factor Binding Sites  

Oleh:

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

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Nature Biotechnology: The Science and Business of Biotechnology vol. 23 no. 1 (Jan. 2005), page 137-144.
Topik: computational; computational tools; transcription; binding sites

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: NN9.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 two hold : 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.

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