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ENGL
2007
180views more  ENGL 2007»
13 years 7 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
IVS
2007
110views more  IVS 2007»
13 years 7 months ago
An automated approach for the optimization of pixel-based visualizations
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed. For most of these techniques user interaction has...
Jörn Schneidewind, Mike Sips, Daniel A. Keim
BMCBI
2005
92views more  BMCBI 2005»
13 years 7 months ago
FIGENIX: Intelligent automation of genomic annotation: expertise integration in a new software platform
Background: Two of the main objectives of the genomic and post-genomic era are to structurally and functionally annotate genomes which consists of detecting genes' position a...
Philippe Gouret, Vérane Vitiello, Nathalie ...
BMCBI
2005
93views more  BMCBI 2005»
13 years 7 months ago
Multiple sequence alignment accuracy and evolutionary distance estimation
Background: Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pai...
Michael S. Rosenberg
BMCBI
2005
101views more  BMCBI 2005»
13 years 7 months ago
TmaDB: a repository for tissue microarray data
Background: Tissue microarray (TMA) technology has been developed to facilitate large, genome-scale molecular pathology studies. This technique provides a high-throughput method f...
Archana Sharma-Oates, Philip Quirke, David R. West...