par 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;Régnier, Mireille;Simonis, Nicolas 
;Sinha, Saurabh;Thijs, Gert;van Helden, Jacques ;Vandenbogaert, Mathias;Weng, Zhiping;Workman, Christopher;Ye, Chun;Zhu, Zhou
Référence Nature biotechnology, 23, 1, page (137-144)
Publication Publié, 2005-01
;Sinha, Saurabh;Thijs, Gert;van Helden, Jacques ;Vandenbogaert, Mathias;Weng, Zhiping;Workman, Christopher;Ye, Chun;Zhu, ZhouRéférence Nature biotechnology, 23, 1, page (137-144)
Publication Publié, 2005-01
Article révisé par les pairs
| Résumé : | 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. |
