miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions

Clicks: 2
ID: 291517
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #1,111 of 1,217 articles by views in Nucleic Acids Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,217 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs of ∼ 22 nucleotides that are involved in negative regulation of mRNA at the post-transcriptional level. Previously, we developed miRTarBase which provides information about experimentally validated miRNA-target interactions (MTIs). Here, we describe an updated database containing 422 517 curated MTIs from 4076 miRNAs and 23 054 target genes collected from over 8500 articles. The number of MTIs curated by strong evidence has increased ∼1.4-fold since the last update in 2016. In this updated version, target sites validated by reporter assay that are available in the literature can be downloaded. The target site sequence can extract new features for analysis via a machine learning approach which can help to evaluate the performance of miRNA-target prediction tools. Furthermore, different ways of browsing enhance user browsing specific MTIs. With these improvements, miRTarBase serves as more comprehensively annotated, experimentally validated miRNA-target interactions databases in the field of miRNA related research. miRTarBase is available at http://miRTarBase.mbc.nctu.edu.tw/.
Reference Key
openalex_W2767546566 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chih‐Hung Chou, Sirjana Shrestha, Chi-Dung Yang, Nai-Wen Chang, Yuling Lin, Kuang‐Wen Liao, Wei-Chi Huang, Ting-Hsuan Sun, Siang-Jyun Tu, Wei-Hsiang Lee, Men-Yee Chiew, Chun-San Tai, Ting-Yen Wei, Tzi-Ren Tsai, Hsin-Tzu Huang, Chung‐Yu Wang, Hsin-Yi Wu, Shu-Yi Ho, Pin-Rong Chen, Cheng‐Hsun Chuang, Pei-Jung Hsieh, Yi-Shin Wu, Wenliang Chen, Meng‐Ju Li, Yu‐Chun Wu, Xin-Yi Huang, Fung Ling Ng, Waradee Buddhakosai, Pei-Chun Huang, Kuan-Chun Lan, Chia‐Yen Huang, Shun-Long Weng, Yeong-Nan Cheng, Chao Liang, Wen-Lian Hsu, Hsien‐Da Huang
Journal Nucleic Acids Research
Year 2017
DOI
10.1093/nar/gkx1067
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.