Sentences with phrase «genomic datasets»
"Genomic datasets" refers to a collection of information that contains the genetic code of organisms, such as DNA sequences and related data. This can be used by scientists to study and understand various aspects of genetics, including the traits, diseases, and evolution of living beings. Full definition
The scoring system is based on an analysis of large genomic datasets and patient data, and it could eventually be developed for clinical use.
newscenter.lbl.gov
A third area of focus centers on developing tools and software that can harness large scale genomic datasets that are available to the community.
Our laboratory develops statistical and computational methods for the analysis of massive genomic datasets.
Consumers can speak directly to the service to navigate through extensive genomic datasets.
The score is based on a 12 - gene signature identified through analysis of large genomic datasets and clinical patient data.
My current research at the Broad Institute focuses on the analyses of large - scale genomic datasets for complex diseases in humans and animals.
We integrate functional genomic datasets with up - to - date gene and genome annotations, Gene Ontology and pathway annotations, gene orthologs, gene interactions, and a comprehensive set of miRNA - target predictions for human, mouse, zebrafish, and nematode.
To determine whether or not it's common to have such a regulatory back - up system, the team computationally analyzed genomic datasets from many different tissues.
Characterization, correction and de novo assembly of an Oxford Nanopore genomic dataset from Agrobacterium tumefaciens
In addition, the method can be used to reanalyze existing genomic datasets with a focus on mechanism in a high - throughput manner, addressing a major gap in GWAS studies.
A recent paper in Cancer Cell reveals the power of integrated genomic datasets for understanding cancer origins and treatment.
Professor Davide Pisani of Bristol's Schools of Biological and Earth Sciences led the study, published today in Current Biology, with colleagues from the California Institute of Technology (Caltech — USA), Ludwig - Maximilians - Universität (LMU), Munich (Germany), and other institutes around the world, which analysed all key genomic datasets released between 2015 and 2017.
«With large present - day genomic datasets and increased international collaboration to handle the many newly sequenced ancient datasets, there is huge potential to understand the biology of human prehistory in a way that has never been accessible before.»
Co-author Derek Radisky, Ph.D., a cancer biologist, then searched for prevalence of the NPTX2 gene in kidney cancer using nine public genomic datasets, representing thousands of patients, and found it to be the top aberrantly expressed gene associated with this cancer.
Broad researchers and engineers are developing, scaling up, and making widely available these best - in - class tools, including cloud - based platforms and powerful software that can analyze genomic datasets at unprecedented scale, accuracy, and speed.
We have generated rich genomic datasets for the scientific community, including an expansive atlas of genetic associations with metabolites, whole - genome sequence and phenotype data for population cohorts in the UK10K project, as well as bioinformatic resources to facilitate the retrieval of information, including a metabolite network, a database of genotype - metabolite associations with our colleagues at the HelmHoltz institute, and a genome browser of UK10K association results.
Importantly, this platform is readily available to all via GitHub and enables novices to mine for and characterize CRISPR - Cas systems in various genomic datasets.
Dr. Pollard's lab develops statistical and computational methods for the analysis of massive genomic datasets.
After analyzing large genomic datasets and clinical patient data, scientists at Berkeley Lab found the expression of 381 genes to be significantly associated with relapse - free survival in breast cancer patients.
Looking at large - scale genomic datasets, Stegh and colleagues saw that patients with higher levels of miR - 182 had a better chance of surviving glioblastoma mulitforme longer.
FSP leader Olly Berry collaborated with colleagues at the University of Canberra to develop a new R software package «dartR» designed to make it easier for researchers to analyse large population genomic datasets.
In the new study, Professor Pisani and colleagues used cutting edge statistical techniques (Posterior Predictive Analyses) to test whether the evolutionary models routinely used in phylogenetics can adequately describe the genomic datasets used to study early animal evolution.
The MRC Centre for Genomics and Global Health (CGGH) is supporting MalariaGEN by developing web - based applications for sharing and analysing large genomic datasets, and by helping to build research capacity for genetic epidemiology research in malaria - endemic regions.
SWIF (r) looks for the statistical signatures of selective sweeps in genomic datasets.
His laboratory has also discovered and characterized a significant number of novel genes contributing to autism and human neurodevelopmental disorders, and has recently applied whole - genome sequencing technologies and large - scale genomics datasets to prenatal detection and interpretation of structural variation in the genome.
Michael Brudno's main research interest is the development of computational methods for the analysis of genomic datasets, especially High Throughput Sequencing data, including methods for the discovery of structural and copy - number polymorphisms and other genomic variation, identification of functional variants, and visualization of genomic data.
First, we have begun amassing data for the release of a very large, existing connectomic, behavioral and genomic dataset, including a large sample study in MZ / DZ twin pairs, will encourage broad participation in the HCP by the larger research community.