Systems biology of ovine intestinal parasite resistance: disease gene modules and biomarkers.
about
Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfareLiver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle.Identification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine modelWeighted Interaction SNP Hub (WISH) network method for building genetic networks for complex diseases and traits using whole genome genotype data.Genetic architecture of gene expression in ovine skeletal muscleCharacterization of the abomasal transcriptome for mechanisms of resistance to gastrointestinal nematodes in cattleCo-expression analysis of fetal weight-related genes in ovine skeletal muscle during mid and late fetal development stages.Building gene co-expression networks using transcriptomics data for systems biology investigations: Comparison of methods using microarray dataGenome-wide association study reveals genetic architecture of eating behavior in pigs and its implications for humans obesity by comparative mapping.Profiling of differentially expressed genes in sheep T lymphocytes response to an artificial primary Haemonchus contortus infection.Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell CarcinomaAn integrative systems genetics approach reveals potential causal genes and pathways related to obesity.Detection and replication of QTL underlying resistance to gastrointestinal nematodes in adult sheep using the ovine 50K SNP arrayAn f2 pig resource population as a model for genetic studies of obesity and obesity-related diseases in humans: design and genetic parametersPossible mechanisms of host resistance to Haemonchus contortus infection in sheep breeds native to the Canary Islands.Systems genetics of obesity in an F2 pig model by genome-wide association, genetic network, and pathway analyses.A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer.Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs.Gene coexpression networks reveal key drivers of phenotypic divergence in lake whitefish.Galectin-11 induction in the gastrointestinal tract of cattle following nematode and protozoan infections.Gene co-expression networks in liver and muscle transcriptome reveal sex-specific gene expression in lambs fed with a mix of essential oils.Transcription Factor Co-expression Networks of Adipose RNA-Seq Data Reveal Regulatory Mechanisms of Obesity
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P2860
Systems biology of ovine intestinal parasite resistance: disease gene modules and biomarkers.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Systems biology of ovine intes ...... e gene modules and biomarkers.
@en
type
label
Systems biology of ovine intes ...... e gene modules and biomarkers.
@en
prefLabel
Systems biology of ovine intes ...... e gene modules and biomarkers.
@en
P2860
P356
P1433
P1476
Systems biology of ovine intes ...... e gene modules and biomarkers.
@en
P2093
Nicholas M Andronicos
P2860
P304
P356
10.1039/C0MB00190B
P577
2010-11-11T00:00:00Z