Cancer Genome Interpreter (CGI)

Cancer Genome Interpreter interprets and annotates tumor somatic variants from genome sequencing to assess their roles as cancer drivers and their therapeutic relevance.


Key Features:

  • Automation: Automates the interpretation of newly sequenced cancer genomes.
  • Annotation: Annotates detected tumor alterations and assesses their potential roles as cancer drivers and implications for treatment response.
  • Evidence-Based Organization: Organizes results into distinct levels of evidence based on current scientific knowledge to evaluate the significance and therapeutic relevance of each alteration.

Scientific Applications:

  • Oncology variant interpretation: Supports interpretation of somatic variants in research and clinical oncology by providing evidence-graded annotations.
  • Therapeutic target identification: Facilitates identification of therapeutically actionable targets by annotating alterations with varying levels of evidence for treatment response.
  • Precision oncology decision support: Helps elucidate potential driver alterations and their impact on treatment efficacy to inform personalized medicine approaches.

Methodology:

Integrates knowledge from multiple resources and computational methods to annotate tumor alterations.

Topics

Collections

Details

License:
Apache-2.0
Maturity:
Mature
Cost:
Free of charge (with restrictions)
Tool Type:
api, command-line tool, web application
Operating Systems:
Linux
Programming Languages:
Python, JavaScript
Added:
12/21/2020
Last Updated:
11/24/2024

Operations

Publications

Tamborero D, Rubio-Perez C, Deu-Pons J, Schroeder MP, Vivancos A, Rovira A, Tusquets I, Albanell J, Rodon J, Tabernero J, de Torres C, Dienstmann R, Gonzalez-Perez A, Lopez-Bigas N. Cancer Genome Interpreter annotates the biological and clinical relevance of tumor alterations. Genome Medicine. 2018;10(1). doi:10.1186/s13073-018-0531-8. PMID:29592813. PMCID:PMC5875005.

PMID: 29592813
PMCID: PMC5875005
Funding: - H2020 European Research Council: 634143 - European Research Council: 682398 - Ministerio de Economía y Competitividad: BES2013-063354, RYC2013-14554, SAF2015-74072

Documentation

Links

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Relation: uses