Evidence map›Paper›PMID 27990175›Full record

ArticleInternational journal of data mining and bioinformatics

The development of non-coding RNA ontology.

Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A Blake, Dejing Dou, Weili Huang, Darren A Natale, Alan Ruttenberg, Jun Huan, Michael T Zimmermann and 13 more

Abstract read
In one paragraph

Article in International journal of data mining and bioinformatics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Jingshan HuangSchool of Computing, University of South Alabama, Shelby Hall, Room 1123, 150 Jaguar Drive Mobile, AL 36688, USA, huang@southalabama.edu.
Karen EilbeckDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA, keilbeck@genetics.utah.edu.
Barry SmithUniversity at Buffalo - SUNY, Buffalo, New York 14260, USA, phismith@buffalo.edu.
Judith A BlakeJackson Laboratory, Bar Harbor, Connecticut 04609, USA, Judith.Blake@jax.org.
Dejing DouComputer and Information Science Department, University of Oregon, Eugene, Oregon 97403, USA, dou@cs.uoregon.edu.
Weili HuangMiracle Query, Inc., Eugene, Oregon 97405, USA, weili.huang@miraclequery.com.
Darren A NataleGeorgetown University Medical Center, Washington DC 20007, USA, dan5@georgetown.edu.
Alan RuttenbergUniversity at Buffalo - SUNY, Buffalo, New York 14260, USA, alanruttenberg@gmail.com.
Jun HuanDepartment of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas 66045, USA, jhuan@ittc.ku.edu.
Michael T ZimmermannDivision of Biomedical Statistics and Informatics, College of Medicine at Mayo Clinic, Rochester, Minnesota 55905, USA, Zimmermann.Michael@mayo.edu.
Guoqian JiangDivision of Biomedical Statistics and Informatics, College of Medicine at Mayo Clinic, Rochester, Minnesota 55905, USA, Jiang.Guoqian@mayo.edu.
Yu LinData Coordination and Integration Center, University of Miami, Miami, Florida 33146, USA, linikujp@gmail.com.
Bin WuEndocrinology Department, Kunming Medical University, Kunming, Yunnan, 650032 China, wu.bin.kmu@qq.com.
Harrison J StrachanSchool of Computing, University of South Alabama, Mobile, Alabama 36688, USA, hjs1221@jagmail.southalabama.edu.
Nisansa de SilvaComputer and Information Science, University of Oregon, Eugene, Oregon 97403, USA, nisansa@cs.uoregon.edu.
Mohan Vamsi KasukurthiSchool of Computing, University of South Alabama, Mobile, Alabama 36688, USA, mk1530@jagmail.southalabama.edu.
Vikash Kumar JhaSchool of Computing, University of South Alabama, Mobile, Alabama 36688, USA, vj1521@jagmail.southalabama.edu.
Yongqun HeLab Animal Medicine, Microbiology, Immunology and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA, yongqunh@med.umich.edu.
Shaojie ZhangDepartment of Computer Science, University of Central Florida, Orlando, Florida 32816, USA, shzhang@cs.ucf.edu.
Xiaowei WangCancer Biology, Washington University in St. Louis, St. Louis, Missouri 63130, USA, xwang@radonc.wustl.edu.
Zixing LiuMitchell Cancer Institute, University of South Alabama, Mobile, Alabama 36604, USA, zixingliu@health.southalabama.edu.
Glen M BorchertDepartment of Biology, University of South Alabama, Mobile, Alabama 36688, USA, borchert@southalabama.edu.
Ming TanMitchell Cancer Institute, University of South Alabama, Mobile, Alabama 36604, USA, mtan@health.southalabama.edu.

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI William Carl Skarnes · 1985 to 2026
$61.9M
PRO: A Protein Ontology in Open Biomedical OntologiesR01GM080646 · NIGMS · UNIVERSITY OF DELAWARE · PI WU, CATHY H. · 2007 to 2018
$8.9M
OmniSearch: A semantic search tool for discovering microRNAs' critical roles in hU01CA180982 · NCI · UNIVERSITY OF SOUTH ALABAMA · PI HUANG, JINGSHAN · 2014 to 2016
$913k
NCI NIH HHS P30 CA034196NCI NIH HHS U01 CA180982NIGMS NIH HHS R01 GM080646
6 · The paper itself

Abstract

Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of large amounts of ncRNA biological and clinical data.

Indexed as

bio-ontologiesdomain ontologynon-coding RNAontology developmentreference ontologysemantic data annotation

Identifiers

PMID27990175
PMCPMC5156483

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.