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» Statistical significance in biological sequence analysis
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BMCBI
2007
149views more  BMCBI 2007»
13 years 7 months ago
SAMPI: Protein Identification with Mass Spectra Alignments
Background: Mass spectrometry based peptide mass fingerprints (PMFs) offer a fast, efficient, and robust method for protein identification. A protein is digested (usually by tryps...
Hans-Michael Kaltenbach, Andreas Wilke, Sebastian ...
BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
IgTM: An algorithm to predict transmembrane domains and topology in proteins
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
Piedachu Peris, Damián López, Marcel...
BMCBI
2008
154views more  BMCBI 2008»
13 years 7 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
Rainer Breitling, Patrick Armengaud, Anna Amtmann
BMCBI
2011
13 years 2 months ago
The PathOlogist: An Automated Tool for Pathway-Centric Analysis
Background: The PathOlogist is a new tool designed to transform large sets of gene expression data into quantitative descriptors of pathway-level behavior. The tool aims to provid...
Sharon I. Greenblum, Sol Efroni, Carl F. Schaefer,...