Assessing computational tools for the discovery of transcription factor binding sites

被引:844
|
作者
Tompa, M
Li, N
Bailey, TL
Church, GM
De Moor, B
Eskin, E
Favorov, AV
Frith, MC
Fu, YT
Kent, WJ
Makeev, VJ
Mironov, AA
Noble, WS
Pavesi, G
Pesole, G
Régnier, M
Simonis, N
Sinha, S
Thijs, G
van Helden, J
Vandenbogaert, M
Weng, ZP
Workman, C
Ye, C
Zhu, Z
机构
[1] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA
[2] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[3] Univ Queensland, Inst Mol Biosci, Brisbane, Qld, Australia
[4] Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA
[5] Harvard Univ, Sch Med, Lipper Ctr Computat Genet, Boston, MA 02115 USA
[6] Katholieke Univ Leuven, ESAT SCD, B-3001 Louvain, Belgium
[7] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA
[8] State Sci Ctr GosNIIGenet, Moscow 117545, Russia
[9] Russian Acad Sci, VA Engelhardt Mol Biol Inst, Moscow 119991, Russia
[10] Boston Univ, Bioinformat Program, Boston, MA 02215 USA
[11] Univ Calif Santa Cruz, Ctr Biomol Sci & Engn, Santa Cruz, CA 95064 USA
[12] Moscow MV Lomonosov State Univ, Dept Bioengn & Bioinformat, Moscow 119992, Russia
[13] Univ Milan, Dept Comp Sci & Commun DICo, Milan, Italy
[14] Univ Milan, Dept Biomol Sci & Biotechnol, Milan, Italy
[15] INRIA Rocquencourt, F-78153 Le Chesnay, France
[16] Free Univ Brussels, SCMB, B-1050 Brussels, Belgium
[17] Rockefeller Univ, Ctr Studies Phys & Biol, New York, NY 10021 USA
[18] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[19] Univ Calif San Diego, Bioinformat Program, La Jolla, CA 92093 USA
关键词
D O I
10.1038/nbt1053
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
引用
收藏
页码:137 / 144
页数:8
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