TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations] (2016)
- Authors:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.12688/f1000research.8923.2
- Subjects: BIOINFORMÁTICA; NEOPLASIAS; EPIGÊNESE GENÉTICA; GENÔMICA
- Keywords: Bioinformatics; Cancer; ENCODE; Epinogenomics; Genomics; Roadmap; TCGA; Non-coding
- Language: Inglês
- Imprenta:
- Source:
- Título: F1000 Research
- ISSN: 2046-1402
- Volume/Número/Paginação/Ano: v. 5, art. 1542, 2016
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- PDF de acesso aberto
- Versão do Documento: Versão publicada (Published version)
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Status: Artigo publicado em periódico de acesso aberto (Gold Open Access) -
ABNT
SILVA, Tiago C. et al. TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]. F1000 Research, v. 5, 2016Tradução . . Disponível em: https://doi.org/10.12688/f1000research.8923.2. Acesso em: 11 mar. 2026. -
APA
Silva, T. C., Colaprico, A., Olsen, C., D'Angelo, F., Bontempi, G., Ceccarelli, M., & Noushmehr, H. (2016). TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]. F1000 Research, 5. doi:10.12688/f1000research.8923.2 -
NLM
Silva TC, Colaprico A, Olsen C, D'Angelo F, Bontempi G, Ceccarelli M, Noushmehr H. TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations] [Internet]. F1000 Research. 2016 ; 5[citado 2026 mar. 11 ] Available from: https://doi.org/10.12688/f1000research.8923.2 -
Vancouver
Silva TC, Colaprico A, Olsen C, D'Angelo F, Bontempi G, Ceccarelli M, Noushmehr H. TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations] [Internet]. F1000 Research. 2016 ; 5[citado 2026 mar. 11 ] Available from: https://doi.org/10.12688/f1000research.8923.2 - The cancer genome atlas pan-cancer analysis project
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