deepBase (Cite Our Paper) is a popular and openly licensed resource to facilitate the integrative and interactive display and analysis of expression, evolution, function of various ncRNAs by deeply mining thousands of high-throughput sequencing data from tissue, cancer and exosome samples.
deepBase provided the most comprehensive expression analysis of sRNAs and lncRNAs, the expression patterns of tRFs and snoRNAs from thousands of cancer and normal samples, the correlations between ncRNAs and patients’ survival and the function prediction of ncRNAs in tumor tumorigenesis.
How to cite:
Xie F, Liu S, Wang J, et al. deepBase v3. 0: expression atlas and interactive analysis of ncRNAs from thousands of deep-sequencing data[J]. Nucleic acids research, 2021, 49(D1): D877-D883.
Zheng LL, Li JH, Wu J, Sun WJ, Liu S, Wang ZL, Zhou H, Yang JH, Qu LH.deepBase v2.0: identification, expression, evolution and function of small RNAs, LncRNAs and circular RNAs from deep-sequencing data. Nucleic Acids Res. 2016 Jan 4;44(D1):D196-202.
Yang JH, Shao P, Zhou H, Chen YQ, Qu LH. deepBase: a database for deeply annotating and mining deep sequencing data. Nucleic Acids Res. 2010 Jan;38(Database issue):D123-30.
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