The Cancer Genome Atlas

Known as: TCGA 
A comprehensive and coordinated effort to accelerate understanding of the molecular basis of cancer through the application of genome analysis… (More)
National Institutes of Health

Papers overview

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Highly Cited
2017
Highly Cited
2017
Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these… (More)
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Review
2016
Review
2016
Mutation Annotation Format (MAF) has become a standard file format for storing somatic/germline variants derived from sequencing… (More)
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Highly Cited
2014
Highly Cited
2014
Protein levels and function are poorly predicted by genomic and transcriptomic analysis of patient tumours. Therefore, direct… (More)
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Highly Cited
2013
Highly Cited
2013
The Cancer Genome Atlas (TCGA) has used the latest sequencing and analysis methods to identify somatic variants across thousands… (More)
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Highly Cited
2013
Highly Cited
2013
Cancer therapy is challenged by the diversity of molecular implementations of oncogenic processes and by the resulting variation… (More)
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Highly Cited
2013
Highly Cited
2013
In the last decade, optimized treatment for non-small cell lung cancer had lead to improved prognosis, but the overall survival… (More)
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Highly Cited
2013
Highly Cited
2013
Recent studies indicate that a subclass of APOBEC cytidine deaminases, which convert cytosine to uracil during RNA editing and… (More)
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Highly Cited
2012
Highly Cited
2012
Cancer is a disease driven by genetic variation and mutation. Exome sequencing can be utilized for discovering these variants and… (More)
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Highly Cited
2012
Highly Cited
2012
Massively parallel sequencing technology and the associated rapidly decreasing sequencing costs have enabled systemic analyses of… (More)
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Highly Cited
2007
Highly Cited
2007
Among the most promising strategies are efforts to identify key genetic “targets” within cancer cells and then create… (More)
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