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GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
13 years 11 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
BMCBI
2008
132views more  BMCBI 2008»
13 years 5 months ago
The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes thr
Background: Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a wealth of information f...
Hamilton Ganesan, Anna S. Rakitianskaia, Colin F. ...
BMCBI
2004
150views more  BMCBI 2004»
13 years 5 months ago
Cross-species comparison significantly improves genome-wide prediction of cis-regulatory modules in Drosophila
Background: The discovery of cis-regulatory modules in metazoan genomes is crucial for understanding the connection between genes and organism diversity. It is important to quanti...
Saurabh Sinha, Mark D. Schroeder, Ulrich Unnerstal...
BMCBI
2005
130views more  BMCBI 2005»
13 years 5 months ago
Some statistical properties of regulatory DNA sequences, and their use in predicting regulatory regions in the Drosophila genome
Background: This paper addresses the problem of recognising DNA cis-regulatory modules which are located far from genes. Experimental procedures for this are slow and costly, and ...
Irina I. Abnizova, Rene te Boekhorst, Klaudia Walt...
BMCBI
2010
144views more  BMCBI 2010»
13 years 5 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...