Sentences with phrase «transcriptome sequence data»

To annotate the genome, the team generated transcriptome sequence data — which can be used to measure gene expression based on RNA levels — in 12 different tissues types.

Our lab has a strong track record in integration of large - scale genome and transcriptome sequencing data sets to characterize the genetic architecture of variants that affect the transcriptome.

She has pioneered the intergration of large - scale genome and transcriptome sequencing data to understand how genetic variation affects gene expression, providing insight to cellular mechanisms underlying genetic risk for disease.

In this study we have integrated genome and transcriptome sequencing data to understand the landscape of functional variation in human populations.

Not exact matches

Dr. Mardis has research interests in the application of DNA sequencing to characterize cancer genomes and transcriptomes, and using these data to support therapeutic decision - making.

In a paper published in Nature in September 2013, we describe results of the largest study to date integrating RNA and genome sequencing data from multiple human populations, and provide a comprehensive map of how genetic variation affects the transcriptome.

Our work combines computational analysis of high - throughput sequencing data, population genetics, and experimental work.We focus in particular on studying genetic effects on the transcriptome traits, which has further applications in other traits at the cellular and individual level.

Here we analyze the GTEx21, 22,23,24,25 RNA - sequencing data to investigate the impact of death and the post-mortem cold ischemic interval on the transcriptomes of human tissues.

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.

Research on vaccine biomarkers, including in - depth comparative analysis of data from different platforms, large - scale RNA sequencing, harmonisation of standard operating procedures (SOPs) for sample, microarray and data analysis, as well as transcriptome mapping (more than 1400 samples analysed).

Additional lines are being developed to analyze next - generation sequencing transcriptome data, and to construct and work with phylogenetic trees.

We also generated a large set of sequence data including the whole transcriptomes of ~ 100 species as well as a couple of genomes.