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» Genome Sequence Assembly: Algorithms and Issues
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BMCBI
2008
220views more  BMCBI 2008»
13 years 8 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
ISMB
1998
13 years 10 months ago
Automated Clustering and Assembly of Large EST Collections
The avMlability of large EST(Expressed Sequence Tag)databases has led to a revolution in the waynew genes are cloned. Difficulties arise, however,due to high error rates and redun...
David P. Yee, Darrell Conklin
BMCBI
2011
13 years 3 months ago
RAIphy: Phylogenetic classification of metagenomics samples using iterative refinement of relative abundance index profiles
Background: Computational analysis of metagenomes requires the taxonomical assignment of the genome contigs assembled from DNA reads of environmental samples. Because of the diver...
Ozkan U. Nalbantoglu, Samuel F. Way, Steven H. Hin...
BMCBI
2010
96views more  BMCBI 2010»
13 years 8 months ago
ModuleOrganizer: detecting modules in families of transposable elements
Background: Most known eukaryotic genomes contain mobile copied elements called transposable elements. In some species, these elements account for the majority of the genome seque...
Sébastien Tempel, Christine Rousseau, Fariz...
BIBE
2010
IEEE
181views Bioinformatics» more  BIBE 2010»
13 years 9 months ago
Multi Level Clustering of Phylogenetic Profiles
The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to in...
Fotis E. Psomopoulos, Pericles A. Mitkas