Your browser doesn't support javascript.
loading
RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation.
Cui, Tianyu; Dou, Yiying; Tan, Puwen; Ni, Zhen; Liu, Tianyuan; Wang, DuoLin; Huang, Yan; Cai, Kaican; Zhao, Xiaoyang; Xu, Dong; Lin, Hao; Wang, Dong.
Affiliation
  • Cui T; Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
  • Dou Y; Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
  • Tan P; Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
  • Ni Z; Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
  • Liu T; Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
  • Wang D; Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, USA.
  • Huang Y; Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Foshan 528308, China.
  • Cai K; Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
  • Zhao X; State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
  • Xu D; Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, USA.
  • Lin H; Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Wang D; Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.
Nucleic Acids Res ; 50(D1): D333-D339, 2022 01 07.
Article in En | MEDLINE | ID: mdl-34551440
ABSTRACT
Resolving the spatial distribution of the transcriptome at a subcellular level can increase our understanding of biology and diseases. To facilitate studies of biological functions and molecular mechanisms in the transcriptome, we updated RNALocate, a resource for RNA subcellular localization analysis that is freely accessible at http//www.rnalocate.org/ or http//www.rna-society.org/rnalocate/. Compared to RNALocate v1.0, the new features in version 2.0 include (i) expansion of the data sources and the coverage of species; (ii) incorporation and integration of RNA-seq datasets containing information about subcellular localization; (iii) addition and reorganization of RNA information (RNA subcellular localization conditions and descriptive figures for method, RNA homology information, RNA interaction and ncRNA disease information) and (iv) three additional prediction tools DM3Loc, iLoc-lncRNA and iLoc-mRNA. Overall, RNALocate v2.0 provides a comprehensive RNA subcellular localization resource for researchers to deconvolute the highly complex architecture of the cell.
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / RNA, Untranslated / Databases, Nucleic Acid / Transcriptome Limits: Animals / Humans Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article Affiliation country: China
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / RNA, Untranslated / Databases, Nucleic Acid / Transcriptome Limits: Animals / Humans Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article Affiliation country: China