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» Statistical significance in biological sequence analysis
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ISBI
2008
IEEE
14 years 8 months ago
Statistical colocalization in biological imaging with false discovery control
In this paper, we present a novel object-based statistical colocalization method. Our colocalization relies on multiple hypothesis tests on the distances between all pairs of the ...
Bo Zhang, Nicolas Chenouard, Jean-Christophe Olivo...
ISMB
2000
13 years 8 months ago
Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...
BMCBI
2007
114views more  BMCBI 2007»
13 years 7 months ago
False occurrences of functional motifs in protein sequences highlight evolutionary constraints
Background: False occurrences of functional motifs in protein sequences can be considered as random events due solely to the sequence composition of a proteome. Here we use a nume...
Allegra Via, Pier Federico Gherardini, Enrico Ferr...
BMCBI
2011
13 years 2 months ago
N-gram analysis of 970 microbial organisms reveals presence of biological language models
Background: It has been suggested previously that genome and proteome sequences show characteristics typical of natural-language texts such as “signature-style” word usage ind...
Hatice U. Osmanbeyoglu, Madhavi Ganapathiraju
BMCBI
2006
95views more  BMCBI 2006»
13 years 7 months ago
XcisClique: analysis of regulatory bicliques
Background: Modeling of cis-elements or regulatory motifs in promoter (upstream) regions of genes is a challenging computational problem. In this work, set of regulatory motifs si...
Amrita Pati, Cecilia Vasquez-Robinet, Lenwood S. H...