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This is the home page for an assessment of motif discovery programs,
applied to the specific task of discovering novel transcription factor
binding sites in DNA sequences. The purpose of the assessment is
twofold:
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to provide some guidance regarding the accuracy of currently
available tools in various settings, and
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to provide a benchmark of
data sets for assessing future tools.
From here you may do the following:
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Read the article summarizing the project:
M. Tompa, N. Li, T. L. Bailey , G. M. Church , B. De Moor, E. Eskin,
A. V. Favorov, M. C. Frith, Y. Fu, W. J. Kent, V. J. Makeev,
A. A. Mironov, W. S. Noble, G. Pavesi, G. Pesole, M. Regnier, N.
Simonis, S. Sinha, G. Thijs, J. van Helden, M. Vandenbogaert,
Z. Weng, C. Workman, C. Ye, and Z. Zhu,
Assessing
Computational Tools for the Discovery of Transcription Factor Binding
Sites.
Nature Biotechnology,
vol. 23, no. 1, January 2005, 137 - 144.
- Read background
on the assessment project.
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View the results of the 13 tools
in the original assessment.
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Download the benchmark data sets.
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Submit new predictions from your own motif
discovery program. Our tools will then compute statistics measuring the
accuracy of your predictions, and provide a visualization of your
predictions versus the annotated binding sites.
The statistical analyses, visualization tool, and prediction interface
are the work of Nan Li.
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