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» Statistical significance in biological sequence analysis
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BMCBI
2006
159views more  BMCBI 2006»
14 years 12 months ago
MultiSeq: unifying sequence and structure data for evolutionary analysis
Background: Since the publication of the first draft of the human genome in 2000, bioinformatic data have been accumulating at an overwhelming pace. Currently, more than 3 million...
Elijah Roberts, John Eargle, Dan Wright, Zaida Lut...
BMCBI
2010
96views more  BMCBI 2010»
15 years 2 hour ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
BIODATAMINING
2008
135views more  BIODATAMINING 2008»
15 years 2 hour ago
Fast Gene Ontology based clustering for microarray experiments
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
RECOMB
2009
Springer
16 years 14 days ago
Simultaneous Alignment and Folding of Protein Sequences
Abstract. Accurate comparative analysis tools for low-homology proteins remains a difficult challenge in computational biology, especially sequence alignment and consensus folding ...
Bonnie Berger, Charles W. O'Donnell, Jér&oc...
BMCBI
2005
104views more  BMCBI 2005»
14 years 11 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...