We applied gene set enrichment analysis (GSEA)(23) to expression array data using KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways.
Not exact matches
This dataset contains millions of genomic sequences from a diverse
set of rice varieties that, when combined with phenotyping observations,
gene expression, and other information, provides an important step in establishing
gene - trait associations, building predictive models, and
applying these models to breeding.
Objective: Research microbiologist with 3 years of postgraduate research in
gene expression and metabolism of E. coli would like to
apply knowledge within an industry
setting.
«The computational method we have proposed can be
applied to other data -
sets to predict new
genes involved in other conditions,» says Alessandra Mezzelani, a researcher involved in the study.
The team first
set out to determine which RBPs were critical in RNA - mediated
gene regulation by
applying an RNAi screen to mESCs.
To make BinoX directly usable for other researchers, a public web server http://PathwaX.sbc.su.se (Ogris et al., 2016b) was
set up for on - line pathway analysis of single
gene sets, which
applies the BinoX algorithm to all KEGG pathways and FunCoup networks.
A major effort in the lab is to elucidate the active components of this process and to
apply transcriptional
gene silencing in a therapeutic
setting.
Cancer researchers have
applied a comprehensive
set of analytical tools to lethal cases of metastatic prostate cancer, yielding a detailed map of the complex networks of interactions among
genes and proteins that enable prostate cancer cells to proliferate and evade treatment.
Applying our method to the GTEx data
set, we discovered 42
genes with a solid pattern of imprinted
gene expression.
This dataset contains millions of genomic sequences from a diverse
set of rice varieties that, when combined with phenotyping observations,
gene expression, and other information, provides an important step in establishing
gene - trait associations, building predictive models, and
applying these models to breeding.
No filtering besides removing
genes with low variation was
applied to these data
sets.