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Statistical extraction of Drosophila cis-regulatory modules using exhaustive assessment of local word frequency.
Nazina AG, Papatsenko DA
BMC Bioinformatics
2003 Dec 22,
4
:65
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BioMed Central articles that cite the above article:
1.
Research article
Finding evolutionarily conserved cis-regulatory modules with a universal set of motifs
Wilczynski B, Dojer N, Patelak M, Tiuryn J
BMC Bioinformatics
2009,
10
:82
(10 March 2009)
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2.
Method
Computational discovery of
cis
-regulatory modules in
Drosophila
without prior knowledge of motifs
Ivan A, Halfon MS, Sinha S
Genome Biology
2008,
9
:R22
(28 January 2008)
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3.
Methodology article
A novel ensemble learning method for
de novo
computational identification of DNA binding sites
Chakravarty A, Carlson JM, Khetani RS, Gross RH
BMC Bioinformatics
2007,
8
:249
(12 July 2007)
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4.
Methodology article
Using hexamers to predict cis-regulatory motifs in Drosophila
Chan BY, Kibler D
BMC Bioinformatics
2005,
6
:262
(27 October 2005)
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5.
Methodology article
Some statistical properties of regulatory DNA sequences, and their use in predicting regulatory regions in the
Drosophila
genome: the fluffy-tail test
Abnizova I, te Boekhorst R, Walter K, Gilks WR
BMC Bioinformatics
2005,
6
:109
(27 April 2005)
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6.
Research
Computational identification of developmental enhancers: conservation and function of transcription factor binding-site clusters in
Drosophila melanogaster
and
Drosophila pseudoobscura
Berman BP, Pfeiffer BD, Laverty TR, Salzberg SL, Rubin GM, Eisen MB, Celniker SE
Genome Biology
2004,
5
:R61
(20 August 2004)
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This article is also cited by a further
2 articles
in PubMed Central
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