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RECOMB
2004
Springer
16 years 1 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
BMCBI
2008
95views more  BMCBI 2008»
15 years 1 months ago
Universal seeds for cDNA-to-genome comparison
Background: To meet the needs of gene annotation for newly sequenced organisms, optimized spaced seeds can be implemented into cross-species sequence alignment programs to accurat...
Leming Zhou, Jonathan Stanton, Liliana Florea
BMCBI
2007
104views more  BMCBI 2007»
15 years 1 months ago
Identification of putative regulatory upstream ORFs in the yeast genome using heuristics and evolutionary conservation
Background: The translational efficiency of an mRNA can be modulated by upstream open reading frames (uORFs) present in certain genes. A uORF can attenuate translation of the main...
Marija Cvijovic, Daniel Dalevi, Elizabeth Bilsland...
RECOMB
2007
Springer
16 years 1 months ago
Learning Gene Regulatory Networks via Globally Regularized Risk Minimization
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...
Yuhong Guo, Dale Schuurmans
BMCBI
2006
213views more  BMCBI 2006»
15 years 1 months ago
CoXpress: differential co-expression in gene expression data
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...
Michael Watson