Sentences with phrase «cell genome data»

Her family will also be acknowledged in articles or talks resulting from the use of HeLa cell genome data.

«Access to HeLa cell genome data restored following agreement.»

Not exact matches

Venter, who created the first synthetic human cell back in 2010, feels the FDA hasn't found a way to serve the public in regard to genome data regulation — it barred 23andMe from offering genetic - risk assessments in 2013 before later reinstating the right to offer limited genetic reports.

«This model was trained on genetic data from human tumors in The Cancer Genome Atlas and was able to predict response to certain inhibitors that affect cancers with overactive Ras signaling in an encyclopedia of cancer cell lines,» Greene said.

To figure out what's really happening within an organism — or within a particular organ or cell — researchers are linking the genome with large - scale data about the output of those genes at specific times, in specific places, in response to specific environmental pressures.

Not only has the parasitic micro jellyfish evolved a stripped - down body plan of just a few cells, but via data generated at the KU Medical Center's Genome Sequencing Facility researchers also found the myxozoan genome was drastically simplGenome Sequencing Facility researchers also found the myxozoan genome was drastically simplgenome was drastically simplified.

Through more than 1,600 separate experiments, analysis of more than 140 cell types and a massive amount of data analysis, the group found about 4 million of these so - called switches and can now assign functions to more than 80 percent of the entire genome.

The organisers used 884 lymphoblastoid cell lines that had SNP and gene - expression data available through the 1000 Genomes Project.

A strategic focus is to continue to develop computational tools (such as KinomeXplorer, NetworKIN, and NetPhorest) and to deploy these on genome - scale quantitative data obtained by, for example, mass spectrometry, genomic, and phenotypic screens to understand the principles of how spatio and temporal assembly of mammalian signaling networks transmit and process information at a systems level in order to alter cell behavior.

The first study to sequence and analyze the entire genome of a HeLa cell line, along with access to its sequence data, has been published Aug. 7 in its final version, by G3: Genes Genomes Genetics, an open - access, scientific journal of the Genetics Society of America.

The new controlled access policy for full genome sequence data from HeLa cells will give the Lacks family the ability to have a role in work being done with the HeLa genome sequences and track any resulting discoveries.

Under the policy, biomedical researchers who agree to abide by terms set forth in the HeLa Genome Data Use Agreement will be able to apply to NIH for access to the full genome sequence data from HeLa Genome Data Use Agreement will be able to apply to NIH for access to the full genome sequence data from HeLa ceData Use Agreement will be able to apply to NIH for access to the full genome sequence data from HeLa genome sequence data from HeLa cedata from HeLa cells.

Access to the whole genome data of these cells will be a valuable reference tool for researchers using HeLa cells in their research.

Because the epigenetic study looked at the broader genome of NK cell DNA, not just at the IL - 10 gene, Tarrio added, the researchers can now go back to the data to look for other proliferation - induced changes.

HM - SNS allows researchers to sequence the genomes of single tumor cells and study multiple cells simultaneously, both lowering the cost and boosting data analysis for such studies.

In addition, NIH - funded researchers who generate full genome sequence data from HeLa cells will be expected to deposit their data into a single database for future sharing through this process.

The National Institutes of Health today announced in Nature that it has reached an understanding with the family of the late Henrietta Lacks to allow biomedical researchers controlled access to the whole genome data of cells derived from her tumor, commonly known as HeLa cells.

«Using the genome data analysis methods developed by co-author Steve Horvath at UCLA, we have uncovered crucial gene networks and we can now predict possible future genetic disorders at the eight - cell stage.»

At a basic level, the transferable data of a human would be represented by the DNA pairs that make up genomes (which contain the entirety of an organism's hereditary information) in each cell.

By using new methods to obtain genome data from microbes that can not be grown in the laboratory, we identified a new archaeal group that is related to the host cell from which eukaryotic cells evolved.

Utilizing the invasive breast cancer data set of 962 cases in The Cancer Genome Atlas, all breast cancers with alterations in the CDH1 gene (that gives instructions to make a protein that causes cancer cells to stick to one another and defines lobular breast cancers) were identified.

«This approach for data integration will enable the comparison of single - cell datasets and the ability to dissect the differences between them,» explains Rahul Satija, the study's senior author, who is an assistant professor in NYU's Center for Genomics and Systems Biology and a core faculty member at the New York Genome Center.

The assembly and analysis of human tumor cell genomes, many of which contain chromosome deletions, duplications and insertions, as well as single nucleotide changes, requires immense data storage capacity and high - speed computation.

We developed SomaticSniper to detect somatic mutations in whole - genome sequencing data while allowing for tumor contamination of normal cells that occurs in some types of leukemia.

conduct computational meta - analyses on large, aggregated cancer genome data sets to identify the long tail of infrequently mutated cancer genes, to characterise mutational signatures and to inform on the evolution of cancer cell clones.

«These extensions complement the MIxS suite of metadata standards by defining the key data elements pertinent for describing the sampling and sequencing of single - cell genomes and genomes from metagenomes,» said GSC President and study co-author Lynn Schriml of the Institute of Genome Sciences at University of Maryland School of Medicine.

«Starting 2007, the first single - cell genomes from environmental cells appeared in public databases and they are draft assemblies with fluctuations in the data quality.

As they revealed in Nature Genetics, the team benchmarked CERES against genome - scale CRISPR - Cas9 data from 342 cancer cell lines (the largest CRISPR knockout dataset generated in cancer lines to date) curated by the Broad - Novartis Cancer Cell Line Encyclopedia (CCcell lines (the largest CRISPR knockout dataset generated in cancer lines to date) curated by the Broad - Novartis Cancer Cell Line Encyclopedia (CCCell Line Encyclopedia (CCLE).

Cas - Analyzer is an instant assessment tool for high - throughput sequencing data for genome edited cells.

In addition, the researchers, in collaboration with scientists at Georgetown University and the University of Maryland, used the whole - genome mRNA data and global proteomics data collected from cells under several experimental conditions.

The quality and novelty of the data, leads to new insights into the replication landscape of the human genome and to further unravel the links between replication, gene expression, epigenetic modification and 3D genome organization in normal and cancer cells.

«Taken together, our data underscore the need to more comprehensively understand the mechanisms of CRISPR / Cas9 - mediated genome editing in human cells, and support the notion that clinical applications of the CRISPR system may be premature at this stage,» the Chinese scientists wrote.

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.

To develop the methodology, the group analyzed the molecular profiles of human embryonic stem cells and compared them with data for 12,000 samples of 33 different tumor types held by The Cancer Genome Atlas (TCGA), a U.S. public database.

Any researcher wanting to use the HeLa cell genome in their research has to request the data from this committee, and explain their research plans, and any potential commercialisation.

After using a correction factor of 6.6 pg of DNA per cell [18], data were expressed as a ratio of male (fetal) genome equivalents per 106 host (maternal) genome equivalents.

Whole genome sequence data of the mutants with altered cell shape, directed mutants, wild type stocks and isolated helical and rod - shaped «wild type» C. jejuni, identified a number of different mutations in pgp1 and pgp2, which result in a change in helical to rod bacterial cell shape.

The Bioinformatics group uses computational methods to analyse genome sequences, amino acid sequences, and gene expression data, both to identify new genes of interest and to determine their structure, function and role in the cell.

The DeskGen software sifts through gigabytes of data, and allows users to modify cell line genomes in ways that have not been possible before.