Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

deepBase (deepBase)

General information

Description: deepBase is a platform for annotating and discovering small (microRNAs, siRNAs, piRNAs...), long ncRNAs (lncRNAs) and circular RNAs (circRNAs) from next generation sequencing data. deepBase v2.0 provides a set of useful tools to decode evolution and expression patterns of diverse ncRNAs across 19 species from 5 clades and to infer their functions.
Year founded: 2009
Last update:
Version: v2.0
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China
Data type:
RNA
Data object:
NA
Database category:
Major organism:
NA
Keywords:

Contact information

University/Institution: Sun Yat-sen University
Address: Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, P.R. China
City: Guangzhou
Province/State: Guangdong
Country/Region: China
Contact name (PI/Team): Liang-Hu Qu
Contact email (PI/Helpdesk): lssqlh@mail.sysu.edu.cn

Record metadata

Created on: 2015-07-14
Curated by:
Lina Ma [2018-06-11]
Lina Ma [2016-05-30]
Jian SA [2016-04-04]
Lin Liu [2016-01-29]
Lin Liu [2016-01-02]
Zhang Zhang [2015-12-29]
Jian SA [2015-12-06]

Ranking

All databases:
431/4549 (90.547%)
Gene genome and annotation:
166/1211 (86.375%)
431
Total Rank
162
Citations
16.2
z-index

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Publications

26590255
deepBase v2.0: identification, expression, evolution and function of small RNAs, LncRNAs and circular RNAs from deep-sequencing data. [PMID: 26590255]
Zheng LL, Li JH, Wu J, Sun WJ, Liu S, Wang ZL, Zhou H, Yang JH, Qu LH.

Small non-coding RNAs (e.g. miRNAs) and long non-coding RNAs (e.g. lincRNAs and circRNAs) are emerging as key regulators of various cellular processes. However, only a very small fraction of these enigmatic RNAs have been well functionally characterized. In this study, we describe deepBase v2.0 (http://biocenter.sysu.edu.cn/deepBase/), an updated platform, to decode evolution, expression patterns and functions of diverse ncRNAs across 19 species. deepBase v2.0 has been updated to provide the most comprehensive collection of ncRNA-derived small RNAs generated from 588 sRNA-Seq datasets. Moreover, we developed a pipeline named lncSeeker to identify 176 680 high-confidence lncRNAs from 14 species. Temporal and spatial expression patterns of various ncRNAs were profiled. We identified approximately 24 280 primate-specific, 5193 rodent-specific lncRNAs, and 55 highly conserved lncRNA orthologs between human and zebrafish. We annotated 14 867 human circRNAs, 1260 of which are orthologous to mouse circRNAs. By combining expression profiles and functional genomic annotations, we developed lncFunction web-server to predict the function of lncRNAs based on protein-lncRNA co-expression networks. This study is expected to provide considerable resources to facilitate future experimental studies and to uncover ncRNA functions. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 73 Citations (from Europe PMC, 2020-02-15)
22144203
DeepBase: annotation and discovery of microRNAs and other noncoding RNAs from deep-sequencing data. [PMID: 22144203]
Yang JH, Qu LH.

Recent advances in high-throughput deep-sequencing technology have produced large numbers of short and long RNA sequences and enabled the detection and profiling of known and novel microRNAs (miRNAs) and other noncoding RNAs (ncRNAs) at unprecedented sensitivity and depth. In this chapter, we describe the use of deepBase, a database that we have developed to integrate all public deep-sequencing data and to facilitate the comprehensive annotation and discovery of miRNAs and other ncRNAs from these data. deepBase provides an integrative, interactive, and versatile web graphical interface to evaluate miRBase-annotated miRNA genes and other known ncRNAs, explores the expression patterns of miRNAs and other ncRNAs, and discovers novel miRNAs and other ncRNAs from deep-sequencing data. deepBase also provides a deepView genome browser to comparatively analyze these data at multiple levels. deepBase is available at http://deepbase.sysu.edu.cn/.

Methods Mol Biol. 2012:822() | 11 Citations (from Europe PMC, 2020-02-15)
19966272
deepBase: a database for deeply annotating and mining deep sequencing data. [PMID: 19966272]
Yang JH, Shao P, Zhou H, Chen YQ, Qu LH.

Advances in high-throughput next-generation sequencing technology have reshaped the transcriptomic research landscape. However, exploration of these massive data remains a daunting challenge. In this study, we describe a novel database, deepBase, which we have developed to facilitate the comprehensive annotation and discovery of small RNAs from transcriptomic data. The current release of deepBase contains deep sequencing data from 185 small RNA libraries from diverse tissues and cell lines of seven organisms: human, mouse, chicken, Ciona intestinalis, Drosophila melanogaster, Caenhorhabditis elegans and Arabidopsis thaliana. By analyzing approximately 14.6 million unique reads that perfectly mapped to more than 284 million genomic loci, we annotated and identified approximately 380,000 unique ncRNA-associated small RNAs (nasRNAs), approximately 1.5 million unique promoter-associated small RNAs (pasRNAs), approximately 4.0 million unique exon-associated small RNAs (easRNAs) and approximately 6 million unique repeat-associated small RNAs (rasRNAs). Furthermore, 2038 miRNA and 1889 snoRNA candidates were predicted by miRDeep and snoSeeker. All of the mapped reads can be grouped into about 1.2 million RNA clusters. For the purpose of comparative analysis, deepBase provides an integrative, interactive and versatile display. A convenient search option, related publications and other useful information are also provided for further investigation. deepBase is available at: http://deepbase.sysu.edu.cn/.

Nucleic Acids Res. 2010:38(Database issue) | 78 Citations (from Europe PMC, 2020-02-15)