Method
Evidence-ranked motif identification
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* Corresponding author: Uwe Ohler uwe.ohler@duke.edu
1 Program for Computational Biology and Bioinformatics, Duke University, 102 North Building, Durham, NC 27708, USA
2 Institute for Genome Sciences and Policy, Duke University, 101 Science Drive, Durham, NC 27708, USA
3 Department of Computer Science, Duke University, 450 Research Drive, Durham, NC 27708, USA
4 Department of Statistical Science, Duke University, 214 Old Chemistry Building, Durham, NC 27708, USA
5 Mathematics Department, Duke University, 102 Science Drive, Durham, NC 27708, USA
6 Department of Biostatistics and Bioinformatics, Duke University, Duke University School of Medicine, 2424 Erwin Road, Durham NC 27710, USA
Genome Biology 2010, 11:R19 doi:10.1186/gb-2010-11-2-r19
Published: 15 February 2010Additional files
Additional file 1:
Tables with comprehensive prediction results on the yeast ChIP-chip datasets with known literature binding motifs as well as novel predictions. Further information, including an implementation of the proposed algorithm and a detailed description of the ChIP-seq pipeline, is accessible online [58].
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