Toolkit/The Cancer Genome Atlas
The Cancer Genome Atlas
Also known as: TCGA
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
The Cancer Genome Atlas (TCGA) is a public funded project that aims to catalogue and discover major cancer-causing genomic alterations to create a comprehensive "atlas" of cancer genomic profiles.
Usefulness & Problems
No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Mechanisms
No mechanism tags yet.
Target processes
diagnosticrecombinationValidation
Supporting Sources
Ranked Claims
Individual cancer-type studies and pan-cancer analyses from TCGA have extended current knowledge of tumorigenesis.
A major goal of TCGA was to provide publicly available datasets to help improve diagnostic methods, treatment standards, and cancer prevention.
TCGA aims to catalogue and discover major cancer-causing genomic alterations to create a comprehensive atlas of cancer genomic profiles.
TCGA researchers have analyzed large cohorts spanning over 30 human tumours using large-scale genome sequencing and integrated multidimensional analyses.
Approval Evidence
The Cancer Genome Atlas (TCGA) is a public funded project that aims to catalogue and discover major cancer-causing genomic alterations to create a comprehensive "atlas" of cancer genomic profiles.
Source:
Individual cancer-type studies and pan-cancer analyses from TCGA have extended current knowledge of tumorigenesis.
Source:
A major goal of TCGA was to provide publicly available datasets to help improve diagnostic methods, treatment standards, and cancer prevention.
Source:
TCGA aims to catalogue and discover major cancer-causing genomic alterations to create a comprehensive atlas of cancer genomic profiles.
Source:
TCGA researchers have analyzed large cohorts spanning over 30 human tumours using large-scale genome sequencing and integrated multidimensional analyses.
Source:
Comparisons
No literature-backed comparison notes have been materialized for this record yet.
Ranked Citations
- 1.