The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Large-scale profiling of microRNAs for The Cancer Genome Atlas
Open accessAbstract
The comprehensive multiplatform genomics data generated by The Cancer Genome Atlas (TCGA) Research Network is an enabling resource for cancer research. It includes an unprecedented amount of microRNA sequence data: ~11 000 libraries across 33 cancer types. Combined with initiatives like the National Cancer Institute Genomics Cloud Pilots, such data resources will make intensive analysis of large-scale cancer genomics data widely accessible. To support such initiatives, and to enable comparison of TCGA microRNA data to data from other projects, we describe the process that we developed and used to generate the microRNA sequence data, from library construction through to submission of data to repositories. In the context of this process, we describe the computational pipeline that we used to characterize microRNA expression across large patient cohorts.
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Cites
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499
Comprehensive molecular characterization of gastric adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13480 · Cited by 6,498
Comprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia
The Cancer Genome Atlas Research Network (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1301689 · Cited by 5,078
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
Comprehensive genomic characterization of squamous cell lung cancers
The Cancer Genome Atlas Research Network (2012) · Nature · doi:10.1038/nature11404 · Cited by 3,994
Comprehensive molecular characterization of clear cell renal cell carcinoma
The Cancer Genome Atlas Research Network (2013) · Nature · doi:10.1038/nature12222 · Cited by 3,485
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Self-citationProteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma
Gillette, M. A., Satpathy, S., Cao, S., Dhanasekaran, S. M., Vasaikar, S. V., Krug, K., Petralia, F., Li, Y., Liang, W.-W., Reva, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.013 · Cited by 820
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Ricketts, C. J., De Cubas, A. A., Fan, H., Smith, C. C., Lang, M., Reznik, E., Bowlby, R., Gibb, E. A., Akbani, R., Beroukhim, R., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.06.032 · Cited by 734
Self-citationA network-biology perspective of microRNA function and dysfunction in cancer
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Metadata
- Authors
- Chu, A., Robertson, G., Brooks, D., Mungall, A. J., Birol, I., Coope, R., Ma, Y., Jones, S., & Marra, M. A.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-08-13
- Volume
- 44
- Issue
- 1
- Pages
- e3-e3
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W1545529171
- Cited by
- 165
- References
- 8
- FWCI
- 3.73
- Type
- journal article
- Language
- en
- Open access
- gold
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- Chu, A., Robertson, G., Brooks, D., Mungall, A. J., Birol, I., Coope, R., Ma, Y., Jones, S., & Marra, M. A. (2016). Large-scale profiling of microRNAs for The Cancer Genome Atlas. Nucleic Acids Research. https://doi.org/10.1093/nar/gkv808
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