Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor binding sites

doi:10.1186/1471-2105-9-262

BMC Bioinformatics

Volume 9

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Research article

Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor binding sites

Nak-Kyeong Kim , Kannan Tharakaraman , Leonardo Mariño-Ramírez and John L Spouge

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA

author email corresponding author email

BMC Bioinformatics 2008, 9:262doi:10.1186/1471-2105-9-262


Published:	4 June 2008

Additional files

Additional file 1:

Additional alignments for the TSS Tompa dataset and the complete data corresponding to the summary in Table 3. Supplementary Tables 1–6 contain additional alignments for the TSS Tompa dataset. Supplementary Table 7 summarizes truncation effects for the TSS Tompa dataset; Supplementary Table 8, for the TRANSFAC dataset.

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