Bibliographic Details
| Title: |
OMCD: OncomiR Cancer Database |
| Authors: |
Aaron L. Sarver, Anne E. Sarver, Ce Yuan, Subbaya Subramanian |
| Source: |
BMC Cancer, Vol 18, Iss 1, Pp 1-6 (2018) |
| Publisher Information: |
BMC, 2018. |
| Publication Year: |
2018 |
| Collection: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
Cancer, microRNA, OncomiR, TCGA, Database, miRNA, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: |
Abstract Background microRNAs (miRNAs) are crucially important in the development of cancer. Their dysregulation, commonly observed in various types of cancer, is largely cancer-dependent. Thus, to understand the tumor biology and to develop accurate and sensitive biomarkers, we need to understand pan-cancer miRNA expression. Constructions At the University of Minnesota, we developed the OncomiR Cancer Database (OMCD), hosted on a web server, which allows easy and systematic comparative genomic analyses of miRNA sequencing data derived from more than 9500 cancer patients tissue samples available in the Cancer Genome Atlas (TCGA). OMCD includes associated clinical information and is searchable by organ-specific terms common to the TCGA. Conclusions Freely available to all users (www.oncomir.umn.edu/omcd/), OMCD enables (1) simple visualization of TCGA miRNA sequencing data, (2) statistical analysis of differentially expressed miRNAs for each cancer type, and (3) exploration of miRNA clusters across cancer types. Database URL www.oncomir.umn.edu/omcd |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1471-2407 |
| Relation: |
http://link.springer.com/article/10.1186/s12885-018-5085-z; https://doaj.org/toc/1471-2407 |
| DOI: |
10.1186/s12885-018-5085-z |
| Access URL: |
https://doaj.org/article/618144fbc6cd467aa50ea3a20e58ecc5 |
| Accession Number: |
edsdoj.618144fbc6cd467aa50ea3a20e58ecc5 |
| Database: |
Directory of Open Access Journals |
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