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ICML
1999
IEEE
15 years 10 months ago
Detecting Motifs from Sequences
The problemofmultipleglobalcomparisonin familiesof biologicalsequences has been wellstudied. Fewer algorithms have been developed for identifying local consensus patterns or motif...
Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler
BIB
2008
109views more  BIB 2008»
14 years 9 months ago
Computational intelligence approaches for pattern discovery in biological systems
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
Gary B. Fogel
RECOMB
2003
Springer
15 years 10 months ago
Whole-genome comparative annotation and regulatory motif discovery in multiple yeast species
In [13] we reported the genome sequences of S. paradoxus, S. mikatae and S. bayanus and compared these three yeast species to their close relative, S. cerevisiae. Genome-wide comp...
Manolis Kamvysselis, Nick Patterson, Bruce Birren,...
BMCBI
2006
127views more  BMCBI 2006»
14 years 9 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...
WABI
2009
Springer
15 years 4 months ago
MADMX: A Novel Strategy for Maximal Dense Motif Extraction
We develop, analyze and experiment with a new tool, called madmx, which extracts frequent motifs, possibly including don’t care characters, from biological sequences. We introduc...
Roberto Grossi, Andrea Pietracaprina, Nadia Pisant...