17/4: 00 Detection of trans and cis splicing QTLs through large scale
cancer genome analysis.
Keynote Speaker: IVO GUT Centro Nacional de Análisis Genómico, Center for Genomic Regulation (CNAG - CRG), Barcelona «Recent Progress in
Cancer Genome Analysis».
Not exact matches
An expanded
analysis of colorectal
cancer sequences in The Cancer Genome Atlas database showed a high incidence of YME1L1 muta
cancer sequences in The
Cancer Genome Atlas database showed a high incidence of YME1L1 muta
Cancer Genome Atlas database showed a high incidence of YME1L1 mutations.
Their
analysis of data in previous studies done by The
Cancer Genome Atlas group have shown that the types of abnormal methylation levels they found are lower in smokers who have quit for more than 10 years than those who have not quit.
An
analysis of the HPV16
genome from 5,570 human cell and tissue samples revealed that the virus actually consists of thousands of unique
genomes, such that infected women living in the same region often have different HPV16 sequences and variable risks to
cancer.
These genomic variations have been revealed by studies in the population and by
analysis of the
genomes of colon cancer patients that are available in data bases such as that of the 1000 Genomes Projec
genomes of colon
cancer patients that are available in data bases such as that of the 1000
Genomes Projec
Genomes Project Data.
New research led by Li Ding, Ph.D., of Washington University School of Medicine in St. Louis, shows that current approaches to
genome analysis systematically miss detecting a certain type of complex mutation in
cancer patients» tumors.
The three - year study included cell culture studies at Rice as well as a detailed
analysis of gene - expression profiles of more than 500 patients from the
Cancer Genome Atlas and protein - expression profiles from about 200 MD Anderson patients.
The new study, a comprehensive
analysis of the
genomes of 178 primary cervical
cancers, found that over 70 percent of the tumors had genomic alterations in either one or both of two important cell signaling pathways.
Tested on data from The
Cancer Genome Atlas (TCGA), MEGENA identified novel regulatory targets in breast and lung
cancers, outperforming other co-expression
analysis methods.
Given the widespread use of the HeLa cell line, Lars Steinmetz and his colleagues at EMBL decided that conducting an extensive
analysis of its
genome could illustrate the changes caused by
cancer — and also help researchers compare versions of the cell line that have evolved over decades of growth in labs around the world.
Previous genetic studies have examined the association of aspirin, NSAIDs, or both with colorectal
cancer according to a limited number of candidate genes or pathways.6 - 10 Thus, to comprehensively identify common genetic markers that characterize individuals who may obtain differential benefit from aspirin and NSAIDs, we conducted a discovery - based,
genome - wide
analysis of gene × environment interactions between regular use of aspirin, NSAIDs, or both and single - nucleotide polymorphisms (SNPs) in relation to risk of colorectal
cancer.
Sequencing accelerates the
analysis of
cancer associated alterations in
genome sequence such as insertions and deletions, CNVs, inversions, duplications, translocations and gene fusions, as well as single nucleotide variants.
The initial version of CRI iAtlas is based on an
analysis performed by The
Cancer Genome Atlas (TCGA) Research Network on the TCGA data set comprising over 10,000 tumor samples and 33 tumor samples (Thorsson et al..
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.
The
Cancer, Ageing and Somatic Mutation Programme encompasses three Projects that respectively cover the genomics of human cancers; functional analysis of the cancer genome using a range of in vitro and in vivo model systems; and the characterisation of somatic mutations in development and adult homeostasis in health and di
Cancer, Ageing and Somatic Mutation Programme encompasses three Projects that respectively cover the genomics of human
cancers; functional
analysis of the
cancer genome using a range of in vitro and in vivo model systems; and the characterisation of somatic mutations in development and adult homeostasis in health and di
cancer genome using a range of in vitro and in vivo model systems; and the characterisation of somatic mutations in development and adult homeostasis in health and disease.
As an example, the ICGC / TCGA Pan-
Cancer Analysis of Whole
Genomes (PCAWG) project, co-led by our group, is leveraging cloud solutions to globally standardize and analyze
cancer genomics data, with the aim of uncovering commonalities and differences between molecular disease mechanisms in disparate
cancer entities.
Identification of a human papillomavirus - associated oncogenic miRNA panel in human oropharyngeal squamous cell carcinoma validated by bioinformatics
analysis of the
Cancer Genome Atlas.
«First we looked at pieces of the glioblastoma
genome from several samples, and then we extended the analysis to a large set of glioblastomas from the Cancer Genome Atlas project, sponsored by the National Cancer Institute.&
genome from several samples, and then we extended the
analysis to a large set of glioblastomas from the
Cancer Genome Atlas project, sponsored by the National Cancer Institute.&
Genome Atlas project, sponsored by the National
Cancer Institute.»
Bioinformaticians are able to help us with that understanding through
analysis of large databases such as The
Cancer Genome Atlas, to see if data correlates with other studies.»
The same staff and facility also process deCODE's DNA - based reference laboratory tests for gauging individual risk of major public health challenges ranging from heart attack to breast
cancer, as well as the company's pioneering deCODEme ™ scans, the world's first personal
genome analysis and focused disease area scans.
«Without computer
analysis of sequencing results, we would not have been able to determine relationships between DNA methylation, how accessible regions of the
genome were, global gene expression, or the emergence of
cancer cells,» says González - Avalos, a graduate student in UCSD's Bioinformatics Graduate Program.
Not all of the
analyses provided in the
Cancer Genome Sequencing Service are reproduced by CGA Tools.
The CNAG takes part in
genome sequencing and
analysis projects in areas as
cancer genetics, rare disorders, host - pathogen interactions, the preservation of endangered species, evolutionary studies and improvement of species of agricultural interest, in collaboration with universities, hospitals, research centers and companies in the sector of biotechnology and pharma.
CGA ™ Tools supports some of the paired
analyses provided in the
Cancer Genome Sequencing Service.
deCODE is delivering on the promise of the new genetics.SM Visit us on the web at www.decode.com; on our diagnostics site at www.decodediagnostics.com; for our pioneering personal
genome analysis service and new Cardio and
Cancer scans, integrating the genetic variants included in these tests and those linked to another twenty common diseases, at www.decodeme.com; and on our blog at www.decodeyou.com.
deCODE is delivering on the promise of the new genetics.SM Visit us on the web at www.decode.com; on our diagnostics site at www.decodediagnostics.com; for our pioneering personal
genome analysis service and new focused disease scans, integrating the genetic variants included in these tests and those linked to another twenty common diseases, as well as for our new deCODEme Cardio ™ and deCODEme
Cancer ™ scans, at www.decodeme.com; and on our blog at www.decodeyou.com.
Researchers with The
Cancer Genome Atlas (TCGA) Research Network have completed the largest, most diverse tumor genetic
analysis ever conducted, revealing a new approach to classifying
cancers.
Shmulevich directs a
Genome Data Analysis Center at ISB as part of The Cancer Genome Atlas project, which is using genome analyses to accelerate understanding of the molecular basis of c
Genome Data
Analysis Center at ISB as part of The
Cancer Genome Atlas project, which is using genome analyses to accelerate understanding of the molecular basis of c
Cancer Genome Atlas project, which is using genome analyses to accelerate understanding of the molecular basis of c
Genome Atlas project, which is using
genome analyses to accelerate understanding of the molecular basis of c
genome analyses to accelerate understanding of the molecular basis of
cancercancer.
In short, genomic
analysis (and especially whole -
genome sequencing) is deeply informative for childhood
cancers, and we should do a lot more of it.
At the same time, we will integrate today's discovery into the prostate
cancer module in our personal
genome analysis service deCODEme ™, enabling our subscribers to stay abreast of how the latest discoveries in human genetics may relate to their
genome,» said Kari Stefansson, CEO of deCODE.
These genetic tools / approaches allow biological validation of loci discovered by
analysis of
cancer genomes.
41) Chari R, Lockwood WW, Coe BP, Chu A, Macey D, Thomson A, Davies JJ, MacAulay C, Lam WL (2006) SIGMA: a system for integrative genomic microarray
analysis of
cancer genomes.
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 anal
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 anal
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 anal
Genome Consortium (ICGC)-- enable integrated
analyses of germline variation with somatic mutation data across tumor types (i.e. pan-
cancer analysis).
Thursday, Oct. 19, 4:15 - 6:15 p.m., Room 310A, South Building Invited Session:
Analysis of
Cancer Genome Variation Using Long - read Sequencing Moderators: Jeffrey Rosenfeld, Rutgers
Cancer Institute; and Sara Goodwin, Cold Spring Harbor Laboratory
SEngine in - depth
analysis of the MYC oncogene across 11,000 samples and 33 tumor types published in Pan-
cancer Alterations of the MYC Oncogene and Its Proximal Network across the
Cancer Genome Atlas.
TCGA, launched in 2005, is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of
cancer through the application of
genome analysis technologies, including large - scale
genome sequencing.
42) Garnis C, Lockwood WW, Vucic E, Ge Y, Girard L, Minna JD, Gazdar AF, Lam S, MacAulay C, Lam WL (2006) High resolution
analysis of non-small cell lung
cancer cell lines by whole
genome tiling path array CGH.
The increasing number of drugs targeting specific proteins implicated in tumourigenesis and the commercial promotion of relatively affordable
genome - wide
analyses has led to an increasing expectation among patients with
cancer that they can now receive effective personalised treatment based on the often complex genomic signature of their tumour.
7/3: 30 Cross-
cancer genome - wide pleiotropy
analysis based on GAME - ON and GECCO across five common
cancers: Lung, ovary, breast, prostate, and colon
cancer.
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 seque
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 seq
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 seque
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 seque
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 seque
cancer through the application of
genome analysis technologies, including large - scale genome seque
genome analysis technologies, including large - scale genome seq
analysis technologies, including large - scale
genome seque
genome sequencing.
He led the Broad Institute's effort to analyze somatic DNA copy number alterations for The
Cancer Genome Atlas (TCGA) and is now co-principal investigator of the Broad Institute's copy number
Genome Data
Analysis Center for the National
Cancer Institute's Genomic Data
Analysis Network (GDAN).