Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

tsRFun

General information

URL: http://rna.sysu.edu.cn/tsRFun
Full name:
Description: tsRFun evaluated tsRNA expression profiles and the prognostic value of tsRNAs across 32 types of cancers, identified tsRNA target molecules utilizing high-throughput CLASH/CLEAR or CLIP sequencing data, and constructed the interaction networks among tsRNAs, microRNAs, and mRNAs. In addition to its data presentation capabilities, tsRFun offers multiple real-time online tools for tsRNA identification, target prediction, and functional enrichment analysis.
Year founded: 2022
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Sun Yat-sen University
Address:
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Lingling Zheng
Contact email (PI/Helpdesk): zhengll33@mail.sysu.edu.cn

Publications

Ranking

All databases:
974/6278 (84.501%)
Raw bio-data:
71/554 (87.365%)
Expression:
180/1214 (85.255%)
Interaction:
185/1052 (82.51%)
Health and medicine:
224/1501 (85.143%)
974
Total Rank
22
Citations
11
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Created with Highcharts 10.0.0tsRFuntsRNAdatasmalltsRNAstoolsRNArolenovelcomprehensiveplatformexpressionprognosticvaluehigh-throughputtargetfunctionalmultipleanalysistsRFun:decodinghumanfunctionsRNA-SeqCLIP-SeqtRNA-derivedtyperegulatorynoncodingplaysimportantphysiologicalpathologicalprocessesHoweverunderstandingmechanismcellsoccurrencedevelopmentdiseaseslimitedintegratedmultiomicstranscriptomeepitranscriptometargetomedevelopedcomputerestablishfacilitateresearchhttp://rna.sysu.edu.cn/tsRFun/http://biomed.nscc-gz.cn/DB/tsRFun/evaluatedprofilesacross32typescancersidentifiedmoleculesutilizingCLASH/CLEARCLIPsequencingconstructedinteractionnetworksamongmicroRNAsmRNAsadditionpresentationcapabilitiesoffersreal-timeonlineidentificationpredictionenrichmentsummaryprovidesvaluableresourceinvestigation.

Related Databases

Record metadata

Created on: 2022-04-21
Curated by:
Lin Liu [2022-06-23]
Jing Wei [2022-05-14]
sun yongqing [2022-04-21]