Name
Title | ||
|---|---|---|
EVLncRNAs: a manually curated database for long non-coding RNAs validated by low-throughput experiments. |
Abstract | ||
|---|---|---|
Long non-coding RNAs (lncRNAs) play important functional roles in various biological processes. Early databases were utilized to deposit all lncRNA candidates produced by high-throughput experimental and/or computational techniques to facilitate classification, assessment and validation. As more lncRNAs are validated by low-throughput experiments, several databases were established for experimentally validated lncRNAs. However, these databases are small in scale (with a few hundreds of lncRNAs only) and specific in their focuses (plants, diseases or interactions). Thus, it is highly desirable to have a comprehensive dataset for experimentally validated lncRNAs as a central repository for all of their structures, functions and phenotypes. Here, we established EVLncRNAs by curating lncRNAs validated by low-throughput experiments (up to 1May 2016) and integrating specific databases (lncR-NAdb, LncRANDisease, Lnc2Cancer and PLNIncR-Base) with additional functional and disease-specific information not covered previously. The current version of EVLncRNAs contains 1543 lncRNAs from 77 species that is 2.9 times larger than the current largest database for experimentally validated lncRNAs. Seventy-four percent lncRNA entries are partially or completely new, comparing to all existing experimentally validated databases. The established database allows users to browse, search and download as well as to submit experimentally validated lncRNAs. The database is available at http://biophy.dzu.edu.cn/EVLncRNAs. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1093/nar/gkx677 | NUCLEIC ACIDS RESEARCH |
Field | DocType | Volume |
LncRNAdb,Biology,Coding (social sciences),Genome human,Throughput,Database | Journal | 46 |
Issue | ISSN | Citations |
D1 | 0305-1048 | 2 |
PageRank | References | Authors |
0.37 | 9 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bailing Zhou | 1 | 6 | 1.87 |
| Huiying Zhao | 2 | 2 | 0.71 |
| Jia-Feng Yu | 3 | 8 | 2.04 |
| Chengang Guo | 4 | 2 | 0.71 |
| Xianghua Dou | 5 | 18 | 1.44 |
| Feng Song | 6 | 2 | 0.71 |
| Guodong Hu | 7 | 2 | 1.72 |
| Zanxia Cao | 8 | 2 | 0.71 |
| Yuanxu Qu | 9 | 2 | 0.37 |
| Yuedong Yang | 10 | 196 | 23.47 |
| Yaoqi Zhou | 11 | 14 | 1.29 |
| Jihua Wang | 12 | 191 | 53.78 |