Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
BMCBI
2011
10 years 8 months ago
PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
Background: OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth condit...
Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T...
BMCBI
2011
10 years 8 months ago
Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community
Background: Caenorhabditis elegans gene-based phenotype information dates back to the 1970’s, beginning with Sydney Brenner and the characterization of behavioral and morphologi...
Gary Schindelman, Jolene Fernandes, Carol Bastiani...
BMCBI
2008
129views more  BMCBI 2008»
11 years 1 months ago
Mining phenotypes for gene function prediction
Background: Health and disease of organisms are reflected in their phenotypes. Often, a genetic component to a disease is discovered only after clearly defining its phenotype. In ...
Philip Groth, Bertram Weiss, Hans-Dieter Pohlenz, ...
BMCBI
2008
93views more  BMCBI 2008»
11 years 1 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
BMCBI
2010
105views more  BMCBI 2010»
11 years 1 months ago
Predicting phenotypic traits of prokaryotes from protein domain frequencies
Background: Establishing the relationship between an organism's genome sequence and its phenotype is a fundamental challenge that remains largely unsolved. Accurately predict...
Thomas Lingner, Stefanie Mühlhausen, Toni Gab...
BMCBI
2010
114views more  BMCBI 2010»
11 years 1 months ago
An integrative modular approach to systematically predict gene-phenotype associations
Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...
BMCBI
2010
115views more  BMCBI 2010»
11 years 1 months ago
CONAN: copy number variation analysis software for genome-wide association studies
Background: Genome-wide association studies (GWAS) based on single nucleotide polymorphisms (SNPs) revolutionized our perception of the genetic regulation of complex traits and di...
Lukas Forer, Sebastian Schönherr, Hansi Wei&s...
CRV
2005
IEEE
191views Robotics» more  CRV 2005»
11 years 7 months ago
Automated Behavioral Phenotype Detection and Analysis Using Color-Based Motion Tracking
The problem of elucidating the functional significance of genes is a key challenge of modern science. Solving this problem can lead to fundamental advancements across multiple are...
Alan Shimoide, Ilmi Yoon, Megumi Fuse, Holly C. Be...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
11 years 7 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley
books