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» The Protein Data Bank and lessons in data management
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SAC
2005
ACM
15 years 3 months ago
Comparing approaches to predict transmembrane domains in protein sequences
There are today several systems for predicting transmembrane domains in membrane protein sequences. As they are based on different classifiers as well as different pre- and post-p...
Paul Davidsson, Johan Hagelbäck, Kenny Svenss...
ISMDA
2005
Springer
15 years 3 months ago
Simultaneous Scheduling of Replication and Computation for Bioinformatic Applications on the Grid
Abstract. One of the first motivations of using grids comes from applications managing large data sets like for example in High Energy Physic or Life Sciences. To improve the glob...
Frederic Desprez, Antoine Vernois, Christophe Blan...
BMCBI
2008
163views more  BMCBI 2008»
14 years 9 months ago
ProfileGrids as a new visual representation of large multiple sequence alignments: a case study of the RecA protein family
Background: Multiple sequence alignments are a fundamental tool for the comparative analysis of proteins and nucleic acids. However, large data sets are no longer manageable for v...
Alberto I. Roca, Albert E. Almada, Aaron C. Abajia...
BMCBI
2008
111views more  BMCBI 2008»
14 years 9 months ago
Probabilistic base calling of Solexa sequencing data
Background: Solexa/Illumina short-read ultra-high throughput DNA sequencing technology produces millions of short tags (up to 36 bases) by parallel sequencing-by-synthesis of DNA ...
Jacques Rougemont, Arnaud Amzallag, Christian Isel...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto