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» Detecting Motifs from Sequences
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BMCBI
2010
144views more  BMCBI 2010»
14 years 10 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...
ICC
2007
IEEE
117views Communications» more  ICC 2007»
15 years 4 months ago
Applying Techniques from Frame Synchronization for Biological Sequence Analysis
— During the last years, the amount of genetic data available has increased rapidly which creates the demand for advanced techniques for their interpretation. In the following, w...
Johanna Weindl, Joachim Hagenauer
BMCBI
2005
150views more  BMCBI 2005»
14 years 9 months ago
Discover protein sequence signatures from protein-protein interaction data
Background: The development of high-throughput technologies such as yeast two-hybrid systems and mass spectrometry technologies has made it possible to generate large protein-prot...
Jianwen Fang, Ryan J. Haasl, Yinghua Dong, Gerald ...
BMCBI
2008
153views more  BMCBI 2008»
14 years 10 months ago
Version VI of the ESTree db: an improved tool for peach transcriptome analysis
Background: The ESTree database (db) is a collection of Prunus persica and Prunus dulcis EST sequences that in its current version encompasses 75,404 sequences from 3 almond and 1...
Barbara Lazzari, Andrea Caprera, Alberto Vecchiett...
WAPCV
2007
Springer
15 years 4 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee