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» Polymorphic Binding-Time Analysis
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BMCBI
2006
134views more  BMCBI 2006»
13 years 7 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
CSMR
2004
IEEE
13 years 11 months ago
High-Level Polymetric Views of Condensed Run-time Information
Understanding the run-time behavior of object-oriented legacy systems is a complex task due to factors such as late binding and polymorphism. Current approaches extract and use in...
Stéphane Ducasse, Michele Lanza, Roland Ber...
BIB
2010
68views more  BIB 2010»
13 years 7 months ago
Genome variation discovery with high-throughput sequencing data
The advent of high-throughput sequencing (HTS) technologies is enabling sequencing of human genomes at a significantly lower cost. The availability of these genomes is hoped to en...
Adrian V. Dalca, Michael Brudno
BMCBI
2008
181views more  BMCBI 2008»
13 years 6 months ago
Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270
Background: Genome-wide association studies (GWAS) aim to identify genetic variants (usually single nucleotide polymorphisms [SNPs]) across the entire human genome that are associ...
Huixiao Hong, Zhenqiang Su, Weigong Ge, Leming M. ...
BMCBI
2011
12 years 11 months ago
ENGINES: exploring single nucleotide variation in entire human genomes
Background: Next generation ultra-sequencing technologies are starting to produce extensive quantities of data from entire human genome or exome sequences, and therefore new softw...
Jorge Amigo, Antonio Salas, Christopher Phillips