Sentences with phrase «cancer sequencing data»

It will take over for NIH's National Center for Biotechnology Information, which had been collecting cancer sequencing data through last August.

During his speech, Biden repeatedly stressed the importance of breaking down the regulatory and structural barriers to pooling clinical trial and genomic cancer sequencing data.

Not exact matches

But devising treatment strategies based on insights from sequencing data, as was done for Dishman, requires «monumental shifts in how we share knowledge,» says Brian Druker, director of Oregon Health & Science University's (OHSU) Knight Cancer Institute.

In a study that included children and young adults with relapsed or refractory cancer, incorporation of integrative clinical genomic sequencing data into clinical management was feasible, revealed potentially actionable findings in nearly half of the patients, and was associated with change in treatment and family genetics counseling for a small proportion of patients, according to a study in the September 1 issue of JAMA.

Prompted by this initial finding, the team searched for similar structural alterations in sequencing data from a total of 10,210 samples deposited in the Cancer Genome Atlas.

The SC3 tool was then used to analyse single - cell RNA - sequence data from two patients diagnosed with myeloproliferative neoplasm (MPN) blood cancers.

Our hope is that using the more targeted whole - exome - sequencing process will provide the necessary data to guide public health decisions related to cancer prevention.»

In a test designed to show how the tool would be used in actual practice, Dr. Wang retrospectively tested iCAGES using detailed sequencing data from a patient with lung cancer.

«We hope that iCAGES can help clinicians take full advantage of the massive amounts of data on genomic sequencing and cancer variants, and shed light on personalized cancer therapy,» said Dr. Wang.

To study gene expression, they then examined RNA sequencing data from 25 of the biliary - phenotype cancers and 44 hepatocellular cancers.

To answer that question, they analyzed genome sequencing data from The Cancer Genome Atlas and epidemiologic data from the Cancer Research UK database, developing a mathematical model that allowed them to determine the proportion of cancer mutations that resulted from R, hereditary or environmental mutations, respectCancer Genome Atlas and epidemiologic data from the Cancer Research UK database, developing a mathematical model that allowed them to determine the proportion of cancer mutations that resulted from R, hereditary or environmental mutations, respectCancer Research UK database, developing a mathematical model that allowed them to determine the proportion of cancer mutations that resulted from R, hereditary or environmental mutations, respectcancer mutations that resulted from R, hereditary or environmental mutations, respectively.

The Johns Hopkins team tested ImmunoMap's ability to correlate immune responses on receptor sequencing data from T - cells in the tumors of 34 patients with cancer enrolled in a nationwide clinical trial of the immunotherapy drug nivolumab.

The convergence of several factors explains the trend: cheaper genetic sequencing technologies, the discovery of new oncogenes (genes that can cause a normal cell to become cancerous), a new generation of computers and bioinformatics that can analyze vast amounts of data, and a multibillion - dollar effort by researchers inside and outside the pharma industry to develop targeted drugs and companion diagnostics for cancer.

The database will make it easier for scientists to analyze the vast amounts of sequencing data pouring out of the U.S. National Cancer Institute's (NCI's) genome projects.

Analysis of genomic, epigenetic, and RNA sequencing data revealed that the combinations of mutations that lowered the levels of functioning BRCA1 and BRCA2 RNA — genes that produce the breast cancer tumor suppressor proteins — were associated with significantly better survival outcomes.

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.

«We are very pleased that we can now use the same sequencing data together with our new algorithms to provide a much faster diagnosis for cancer cases that are difficult to diagnose, and to provide a useful diagnosis in cases which are currently impossible to diagnose.

Interpretation of genome sequencing data is a significant challenge because of the volume of genomic data to sift through, as well as the large, growing body of research on molecular drivers of cancer and potential targeted therapies.

TCGA consists of four integrated components: the Genome Sequencing Centers announced today, plus seven Cancer Genome Characterization Centers, a Data Collection Center, and the Biospecimen Core Resource.

Of the 22 patients whose tumors successfully grafted, six died before data from the mice were available, but in 13 of the remaining 16 cases, there was a positive correlation between mouse and human results.2 In a second study, performed in collaboration with Manuel Hidalgo of the Spanish National Cancer Research Center, the team found that 6 of 13 patients with advanced solid tumors who were treated based on results from personalized PDX mice had partial tumor remissions, even in cases where genetic sequencing of the tumor showed no actionable mutations.3

Explore one of the world's largest repositories of next - generation sequencing data and analysis tools for pediatric cancer.

Jared's research group focuses on developing new algorithms to analyze large biological data sets including genome assembly, probabilistic modeling of sequencing data, the detection of modified bases and the application of genomics to better understand cancer.

For their study, published in Science, the scientists used a mathematical model that analyzed genome sequencing and epidemiological data for 32 types of cancer.

That data will be compared with genetic sequences of thousands of tumors already collected by the National Cancer Institute (NCI), including more than 500 pancreatic cancers.

Developed in collaboration with the Laboratory Medicine, Information Technology and Health Science Research departments of Mayo Clinic Geneticist Assistant NGS Interpretative Workbench, is a web - based tool for the control, visualization, interpretation and historical knowledge base of next generation sequencing data targeted at specific genes for the purpose of identifying potentially pathogenic variants associated with specific conditions such as hereditary colon cancer.

To help tease out cancer's inherited components, the new study adds analysis of the sequencing data from the patients» normal cells that contain the «germline» information.

Past genomic studies of cancer compared sequencing data from patients» healthy tissue and the same patients» tumors.

The Cancer Sequencing Service supports whole genome sequencing and data delivery for genome pairs and genSequencing Service supports whole genome sequencing and data delivery for genome pairs and gensequencing and data delivery for genome pairs and genome trios.

Large - scale sequencing efforts like the 1,000 Genomes Project and The Cancer Genome Atlas now consider BAM the standard format for data exchange.

As cancer genome sequencing ramps up here and pretty much everywhere around the world, I got to thinking about strategies for identifying somatic changes, with confidence, from massively parallel sequencing data.

Topics that will be explored include: • Cellular and developmental origins of pediatric cancer • Key findings of pan-cancer analysis efforts • Computational pipelines to analyze large - scale sequencing data • Opportunities for leveraging existing cancer genomics datasets • Strategies for integrative analysis of germline and somatic variants • Correlation of germline / somatic variation to clinical features such as tumor subtype.

Moreover, the ever - growing catalogues of tumor genome sequences — such as those created by the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC)-- enable integrated analyses of germline variation with somatic mutation data across tumor types (i.e. pan-cancer analysis).

It is now apparent from DNA - based massively parallel sequencing data that at the genomic level, every breast cancer is unique and shaped by the mutational processes to which it was exposed during its lifetime.

By SNP analysis, single nucleotide differences between the sequences of 22Rv1 - associated XMRV and XMRV genomes detected in prostate cancer tissues [VP35, VP42, and VP62 (2006)-RSB-(red lollipops) are corrected by the deep sequencing coverage data (black lollipops).

He directs a Genome Data Analysis Center as part of The Cancer Genome Atlas (TCGA) project, a comprehensive and coordinated effort to accelerate our understanding of the molecular basis of cancer through the application of genome analysis technologies, including large - scale genome sequeCancer Genome Atlas (TCGA) project, a comprehensive and coordinated effort to accelerate our understanding of the molecular basis of cancer through the application of genome analysis technologies, including large - scale genome sequecancer through the application of genome analysis technologies, including large - scale genome sequencing.