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» A Family of Data-Parallel Derivations
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BMCBI
2007
91views more  BMCBI 2007»
13 years 10 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
BMCBI
2008
103views more  BMCBI 2008»
13 years 10 months ago
Detection of protein catalytic residues at high precision using local network properties
Background: Identifying the active site of an enzyme is a crucial step in functional studies. While protein sequences and structures can be experimentally characterized, determini...
Patrick Slama, Ioannis Filippis, Michael Lappe
COMPUTING
2008
174views more  COMPUTING 2008»
13 years 10 months ago
Multilevel algorithms for Rannacher-Turek finite element approximation of 3D elliptic problems
Generalizing the approach of a previous work [15] the authors present multilevel preconditioners for three-dimensional (3D) elliptic problems discretized by a family of Rannacher ...
Ivan Georgiev, Johannes Kraus, Svetozar Margenov
BMCBI
2006
107views more  BMCBI 2006»
13 years 9 months ago
Simplifying gene trees for easier comprehension
Background: In the genomic age, gene trees may contain large amounts of data making them hard to read and understand. Therefore, an automated simplification is important. Results:...
Paul-Ludwig Lott, Marvin Mundry, Christoph Sassenb...
BMCBI
2006
91views more  BMCBI 2006»
13 years 9 months ago
Cheminformatics methods for novel nanopore analysis of HIV DNA termini
Background: Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This informat...
Stephen Winters-Hilt, Matthew Landry, Mark Akeson,...