Here we set out to determine the mechanisms underpinning variant association with platelet quantitative traits using cell type - matched
epigenomic data and promoter long - range interactions.
Research Focus: I am involved in the analysis of transcriptomic and
epigenomic data in various types of human immune cells and in different diseases.
This study opens new avenues of research aiming at integrating genomic and
epigenomic data together with environmental exposures in order to elucidate the physio - pathological mechanisms underlying asthma and to promote the development of new therapies.
Not exact matches
Genetic
data combined with information on gene expression and
epigenomics in relevant tissues, and clinical information, can provide clues about the effects of genetic changes within an individual's genome that increase or decrease one's risk of developing type 2 diabetes and its complications, including heart and kidney disease.
Researchers are building a database of DNA sequence, functional and
epigenomic information, and clinical
data from studies on type 2 diabetes and its macro - and microvascular complications, and creating analytic tools to analyze these
data.
While genome and transcriptome
data from RNA - sequencing are the main
data types that we analyze, the approaches are applicable to
epigenomic and other cellular
data sets.
Our objective is to generate a resource that facilitates research into human immune - related diseases by creating a comprehensive database of cell type - and allele - specific
epigenomic and transcriptomic
data for the immunology community.
The Cancer Genome Atlas is using genomic, transcriptomic, and
epigenomic measurements of cancer cells, coupled with computational approaches and rich clinical
data, to understand the dysfunctions that underline the onset, progression, and spread of cancer.
His primary research interests are bioinformatics, computational biology, machine learning, and integrative analysis of high throughput sequencing
data with an emphasis on regulatory genomics and
epigenomics.