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ISMB
1996
13 years 9 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa
ISMB
1993
13 years 9 months ago
Detection of Correlations in tRNA Sequences with Structural Implications
Using a flexible representation of biological sequences, we have performed a comparative analysis of 1208 known tRNA sequences. We believe we our technique is a more sensitive met...
Tod M. Klingler, Douglas L. Brutlag
BMCBI
2011
13 years 2 months ago
Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
BMCBI
2008
149views more  BMCBI 2008»
13 years 7 months ago
Evolution of biological sequences implies an extreme value distribution of type I for both global and local pairwise alignment s
Background: Confidence in pairwise alignments of biological sequences, obtained by various methods such as Blast or Smith-Waterman, is critical for automatic analyses of genomic d...
Olivier Bastien, Eric Maréchal
BMCBI
2002
128views more  BMCBI 2002»
13 years 7 months ago
Correlating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in euka
Background: Gene regulation in eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding regi...
Michele Caselle, Ferdinando Di Cunto, Paolo Prover...