BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access 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*

Author Affiliations

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

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BMC Bioinformatics 2008, 9:262 doi: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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