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» Statistical significance in biological sequence analysis
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RECOMB
2009
Springer
14 years 8 months ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...
Rami Jaschek, Amos Tanay
BMCBI
2007
247views more  BMCBI 2007»
13 years 7 months ago
A survey of DNA motif finding algorithms
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especi...
Modan K. Das, Ho-Kwok Dai
BIBE
2009
IEEE
126views Bioinformatics» more  BIBE 2009»
14 years 2 months ago
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Sinan Kockara
BMCBI
2005
157views more  BMCBI 2005»
13 years 7 months ago
Statistical Viewer: a tool to upload and integrate linkage and association data as plots displayed within the Ensembl genome bro
Background: To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotat...
Judith E. Stenger, Hong Xu, Carol Haynes, Elizabet...
BMCBI
2007
113views more  BMCBI 2007»
13 years 7 months ago
Statistical power of phylo-HMM for evolutionarily conserved element detection
Background: An important goal of comparative genomics is the identification of functional elements through conservation analysis. Phylo-HMM was recently introduced to detect conse...
Xiaodan Fan, Jun Zhu, Eric E. Schadt, Jun S. Liu