Parametric bootstrapping for biological sequence motifs-Reference-Cited by-同舟云学术

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Parametric bootstrapping for biological sequence motifs

Published:2016-10-06 Issue:1 Volume:17 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

O’Neill Patrick K.,Erill Ivan^ORCID

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-016-1246-8.pdf

Reference75 articles.

1. Durbin R, Eddy S, Krogh A, Mitchison G. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge: CUP; 1998.

2. Bailey TL. Discovering sequence motifs. Methods Mol Biol. 2007; 395:271–92.

3. Das M, Dai HK. A survey of DNA motif finding algorithms. BMC Bioinformatics. 2007; 8(Suppl 7):21. doi: 10.1186/1471-2105-8-s7-s21 .

4. Erill I, O’Neill MC. A reexamination of information theory-based methods for dna-binding site identification. BMC Bioinformatics. 2009; 10:57.

5. Stormo GD. DNA binding sites: representation and discovery. Bioinformatics. 2000; 16(1):16–23.

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