A cross-genomic approach for systematic mapping of phenotypic traits to genes.
about
An integrative genomic approach to uncover molecular mechanisms of prokaryotic traitsSystematic association of genes to phenotypes by genome and literature miningHierarchical clustering algorithm for comprehensive orthologous-domain classification in multiple genomesDetection of biochemical pathways by probabilistic matching of phyletic vectorsSimilarity searches in genome-wide numerical data setsBiodiversity-based identification and functional characterization of the mannose-specific adhesin of Lactobacillus plantarum.Integration of curated databases to identify genotype-phenotype associations.Microbial genotype-phenotype mapping by class association rule mining.Robust methods for accurate diagnosis using pan-microbiological oligonucleotide microarrays.Identification of genetic loci in Lactobacillus plantarum that modulate the immune response of dendritic cells using comparative genome hybridizationPredicting phenotypic traits of prokaryotes from protein domain frequenciesExploring Lactobacillus plantarum genome diversity by using microarrays.Expansion of biological pathways based on evolutionary inferenceImmunomodulatory effects of Streptococcus suis capsule type on human dendritic cell responses, phagocytosis and intracellular survival.SPICE: discovery of phenotype-determining component interplaysNIBBS-search for fast and accurate prediction of phenotype-biased metabolic systems.Comparative genomics and transcriptomics of trait-gene associationHierarchical partitioning of metazoan protein conservation profiles provides new functional insights.Discovering functional linkages and uncharacterized cellular pathways using phylogenetic profile comparisons: a comprehensive assessmentPractical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.Uncovering metabolic pathways relevant to phenotypic traits of microbial genomes.Ab initio genotype-phenotype association reveals intrinsic modularity in genetic networks.Comparative Genomics of Ralstonia solanacearum Identifies Candidate Genes Associated with Cool Virulence.Efficient learning of microbial genotype-phenotype association rules.Characterizing Gene and Protein Crosstalks in Subjects at Risk of Developing Alzheimer’s Disease: A New Computational Approach
P2860
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P2860
A cross-genomic approach for systematic mapping of phenotypic traits to genes.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
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2004年學術文章
@zh-hant
name
A cross-genomic approach for systematic mapping of phenotypic traits to genes.
@en
type
label
A cross-genomic approach for systematic mapping of phenotypic traits to genes.
@en
prefLabel
A cross-genomic approach for systematic mapping of phenotypic traits to genes.
@en
P2093
P2860
P356
P1433
P1476
A cross-genomic approach for systematic mapping of phenotypic traits to genes.
@en
P2093
Kush Parmar
Mona Singh
Saeed Tavazoie
P2860
P304
P356
10.1101/GR.1586704
P577
2004-01-01T00:00:00Z