Title |
LASAGNA: A novel algorithm for transcription factor binding site alignment
|
---|---|
Published in |
BMC Bioinformatics, March 2013
|
DOI | 10.1186/1471-2105-14-108 |
Pubmed ID | |
Authors |
Chih Lee, Chun-Hsi Huang |
Abstract |
Scientists routinely scan DNA sequences for transcription factor (TF) binding sites (TFBSs). Most of the available tools rely on position-specific scoring matrices (PSSMs) constructed from aligned binding sites. Because of the resolutions of assays used to obtain TFBSs, databases such as TRANSFAC, ORegAnno and PAZAR store unaligned variable-length DNA segments containing binding sites of a TF. These DNA segments need to be aligned to build a PSSM. While the TRANSFAC database provides scoring matrices for TFs, nearly 78% of the TFs in the public release do not have matrices available. As work on TFBS alignment algorithms has been limited, it is highly desirable to have an alignment algorithm tailored to TFBSs. |
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Members of the public | 3 | 33% |
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Mendeley readers
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Norway | 1 | 1% |
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Student > Bachelor | 7 | 8% |
Other | 17 | 18% |
Unknown | 5 | 5% |
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Immunology and Microbiology | 2 | 2% |
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