Sentences with phrase «omics data»

He collects different types of omic data from M. tuberculosis alone and when it's in the presence of an antibiotic.

So now his lab is tracking omic data from 100 people, most of whom have elevated blood sugar levels, but have not yet been diagnosed with diabetes.

This HDG genome represented the most complete de novo genome assembly to date, and with other omics data resources available from this individual, the work can be used as a benchmark for developing new sequencing and assembly techniques, and for functional studies involving RNA or protein analysis.

At the end of its second year, RD - Connect has successfully achieved its objectives for the period and has made significant progress on the development of the central platform for omics data and the associated bioinformatics tools for data analysis, the integration of biobanks and registries, and the ethical framework for data sharing.

My interests lie in leveraging the information hidden in large - scale omics data for better understanding of the mutational processes causing human cancer, for identifying potential cancer prevention strategies, and for developing novel approaches for targeted cancer treatment.

RD - Connect bioinformatic tools In addition, RD - Connect has developed several bioinformatic tools to help researchers analyse omics data and identify targets for potential therapies.

Nearly a year into his experiment, though, changes in his other omic data suggested that his body was no longer using glucose properly.

Then he started measuring his proteome, metabolome and other omic data at regular intervals to develop what he termed his «personal omics profile.»

So far, collecting and integrating omic data is largely restricted to the lab — the work is still expensive and time - consuming.

However, the interpretation of large omics data and the understanding of complex metabolic interactions in engineered microbes remains challenging.

In the future, the Platform will also allow multiomics — linking up different omics data of individual patients.

Waters, who is director of biological sciences at PNNL, was invited to be on the committee because of her strong expertise in microarray and omics data analysis.

ASHG 2017: Personal Omics Data Informative for Precision Health and Preventive Care ASHG Press Release — October 20, 2017

Our laboratory has further been among the pioneers in the utilization of cloud computing to enable sharing and processing of large - scale omics data.

RD - Connect members, often in collaboration with external partners, have developed several bioinformatic tools to help researchers analyse omics data and identify targets for potential therapies.

The RD - Connect Genome - Phenome Analysis Platform, developed and hosted at the CNAG - CRG, securely integrates - omics data with clinical information, providing not only a centralized data repository but also a sophisticated and user - friendly online analysis system.

The Application of Omics Data to the Development of AOPs — Mary T. McBride, A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment

That requires analytical and bioinformatics tools to conduct disease or therapeutic association and pathway analysis that combines various forms of «omics data.

-- In silico basic and systems biology: We develop innovative approaches to reverse engineer biological networks from omics data, model tumor progression at the genomic, transcriptomic and epigenetic level, automatically annotate new proteins and functional elements through integration of complex and heterogeneous data, including data obtained from high - throughput sequencing or time - lapse video - microscopy.

As a result, a massive amount of omics data is currently being generated which will be difficult to exploit using solely bioinformatic criteria.

This tool securely integrates - omics data with clinical information, providing not only a centralised data repository but also a sophisticated and user - friendly online analysis system.

Routine data analyses include large scale information datasets (omics data) generated by high - throughput technologies, which address the following areas:

The Bader lab uses molecular interaction, pathway and «omics data to gain a «causal» mechanistic understanding of normal and disease phenotypes.

They are developing novel computational approaches that combine molecular interaction and pathway information with «omics data to develop clinically predictive models and identify therapeutically targetable pathways.