ReP USP - Resultado da busca

Artigo de periodico
TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations] (2016)
Silva, Tiago C.; Colaprico, Antonio; Olsen, Catharina; D'Angelo, Fulvio; Bontempi, Gianluca; Ceccarelli, Michele; Noushmehr, Houtan
Source: F1000 Research. Unidade: FMRP
Subjects: BIOINFORMÁTICA, NEOPLASIAS, EPIGÊNESE GENÉTICA, GENÔMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 maio 2024.
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 2024 maio 04 ] 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 2024 maio 04 ] Available from: https://doi.org/10.12688/f1000research.8923.2
Artigo de periodico
SpidermiR: an R/Bioconductor package for integrative analysis with miRNA data (2017)
Cava, Claudia; Colaprico, Antonio; Bertoli, Gloria; Graudenzi, Gloria; Silva, Tiago C.; Olsen, Catharina; Noushmehr, Houtan; Bontempi, Gianluca; Mauri, Giancarlo; Castiglioni, Isabella
Source: International Journal of Molecular Sciences. Unidade: FMRP
Subjects: NEOPLASIAS MAMÁRIAS, MICRORNAS, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAVA, Claudia et al. SpidermiR: an R/Bioconductor package for integrative analysis with miRNA data. International Journal of Molecular Sciences, v. 18, n. 2, 2017Tradução . . Disponível em: https://doi.org/10.3390/ijms18020274. Acesso em: 04 maio 2024.
APA
Cava, C., Colaprico, A., Bertoli, G., Graudenzi, G., Silva, T. C., Olsen, C., et al. (2017). SpidermiR: an R/Bioconductor package for integrative analysis with miRNA data. International Journal of Molecular Sciences, 18( 2). doi:10.3390/ijms18020274
NLM
Cava C, Colaprico A, Bertoli G, Graudenzi G, Silva TC, Olsen C, Noushmehr H, Bontempi G, Mauri G, Castiglioni I. SpidermiR: an R/Bioconductor package for integrative analysis with miRNA data [Internet]. International Journal of Molecular Sciences. 2017 ; 18( 2):[citado 2024 maio 04 ] Available from: https://doi.org/10.3390/ijms18020274
Vancouver
Cava C, Colaprico A, Bertoli G, Graudenzi G, Silva TC, Olsen C, Noushmehr H, Bontempi G, Mauri G, Castiglioni I. SpidermiR: an R/Bioconductor package for integrative analysis with miRNA data [Internet]. International Journal of Molecular Sciences. 2017 ; 18( 2):[citado 2024 maio 04 ] Available from: https://doi.org/10.3390/ijms18020274
Artigo de periodico
New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx (2019)
Mounir, Mohamed; Lucchetta, Marta; Silva, Tiago Chedraoui ; Olsen, Catharina; Bontempi, Gianluca; Chen, Xi; Noushmehr, Houtan ; Colaprico, Antonio; Papaleo, Elena
Source: PLOS Computational Biology. Unidade: FMRP
Subjects: CARCINOGÊNESE, GENOMAS, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOUNIR, Mohamed et al. New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. PLOS Computational Biology, v. 15, n. 3, p. [18] , 2019Tradução . . Disponível em: https://doi.org/10.1371/journal.pcbi.1006701. Acesso em: 04 maio 2024.
APA
Mounir, M., Lucchetta, M., Silva, T. C., Olsen, C., Bontempi, G., Chen, X., et al. (2019). New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. PLOS Computational Biology, 15( 3), [18] . doi:10.1371/journal.pcbi.1006701
NLM
Mounir M, Lucchetta M, Silva TC, Olsen C, Bontempi G, Chen X, Noushmehr H, Colaprico A, Papaleo E. New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx [Internet]. PLOS Computational Biology. 2019 ; 15( 3): [18] .[citado 2024 maio 04 ] Available from: https://doi.org/10.1371/journal.pcbi.1006701
Vancouver
Mounir M, Lucchetta M, Silva TC, Olsen C, Bontempi G, Chen X, Noushmehr H, Colaprico A, Papaleo E. New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx [Internet]. PLOS Computational Biology. 2019 ; 15( 3): [18] .[citado 2024 maio 04 ] Available from: https://doi.org/10.1371/journal.pcbi.1006701

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