MEGENA (for Multiscale Embedded Gene Co-expression Network Analysis)
projects gene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and Alzheimer's.
Not exact matches
«It is exciting to find a correlation between brain circuitry and
gene expression by combining high quality
data from these two large - scale
projects,» says David Van Essen, Ph.D., professor at Washington University in St. Louis and a leader of the Human Connectome
Project.
The organisers used 884 lymphoblastoid cell lines that had SNP and
gene -
expression data available through the 1000 Genomes
Project.
The
project was based on
gene expression data from the modENCODE
project, which aims to provide the scientific community with a comprehensive encyclopedia of functional elements of the genome of model organisms.
Bethesda, USA (2016 - present) Research areas: Super-resolution microscopy, single - molecule imaging,
gene expression, computational modeling and
data analysis This section includes all
projects during my postdoctoral research stay at the National Institutes of Health in Bethesda, MD (Unites States): (9) Understanding
gene expression in eukaryotic cells»
We investigate the impact of PMI on
gene expression using
data from multiple tissues of post-mortem donors obtained from the GTEx
project.
There's also a lot of work under way for TCGA, not just the 6K capture
project, but also adjunct analyses of
gene expression, DNA copy number, microRNA, and DNA methylation
data being generated on TCGA samples.