Assessing computational tools for the discovery of transcription factor binding sites | Zendy

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

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Assessing computational tools for the discovery of transcription factor binding sites

Author(s) -

Martin Tompa,

Nan Li,

Timothy L. Bailey,

George M. Church,

Bart De Moor,

Eleazar Eskin,

Alexander V. Favorov,

Martin C. Frith,

Yutao Fu,

W. James Kent,

Vsevolod J. Makeev,

Andrei A. Mironov,

William Stafford Noble,

Giulio Pavesi,

Graziano Pesole,

Mireille Régnier,

Nicolas Simonis,

Saurabh Sinha,

Gert Thijs,

Jacques van Helden,

Mathias Vandenbogaert,

Zhiping Weng,

Christopher T. Workman,

Chun Ye,

Zhou Zhu

Publication year - 2005

Publication title -

nature biotechnology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 15.358

H-Index - 445

eISSN - 1546-1696

pISSN - 1087-0156

DOI - 10.1038/nbt1053

Subject(s) - computer science , benchmark (surveying) , data science , task (project management) , factor (programming language) , data mining , machine learning , computational biology , biology , systems engineering , engineering , programming language , geography , geodesy

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.

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