Evidence map›Paper›PMID 32003428›Full record

ReviewBriefings in bioinformatics2021

Computational annotation of miRNA transcription start sites.

Saidi Wang, Amlan Talukder, Mingyu Cha, Xiaoman Li, Haiyan Hu

Erratum issuedOpen access · greenAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
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

25 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  4. Predicting miRNA Targets at the isomiR Level.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  16. Role of ceRNA network in inflammatory cells of rheumatoid arthritis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Saidi WangComputer Science, University of Central Florida, Orlando, FL-32816, US.
Amlan TalukderComputer Science, University of Central Florida, Orlando, FL-32816, US.
Mingyu ChaComputer Science, University of Central Florida, Orlando, FL-32816, US.
Xiaoman LiBurnett School of Biomedical Science, University of Central Florida, Orlando, FL-32816, US.
Haiyan HuComputer Science, University of Central Florida, Orlando, FL-32816, US.
University of Central Florida · US

Funding

Bacterial haplotype reconstruction directly from next generation sequencing readsR15GM123407 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI LI, XIAOMAN · 2017 to 2017
$371k
NIGMS NIH HHS R15 GM123407
6 · The paper itself

Abstract

motivationMicroRNAs (miRNAs) are small noncoding RNAs that play important roles in gene regulation and phenotype development. The identification of miRNA transcription start sites (TSSs) is critical to understand the functional roles of miRNA genes and their transcriptional regulation. Unlike protein-coding genes, miRNA TSSs are not directly detectable from conventional RNA-Seq experiments due to miRNA-specific process of biogenesis. In the past decade, large-scale genome-wide TSS-Seq and transcription activation marker profiling data have become available, based on which, many computational methods have been developed. These methods have greatly advanced genome-wide miRNA TSS annotation.

resultsIn this study, we summarized recent computational methods and their results on miRNA TSS annotation. We collected and performed a comparative analysis of miRNA TSS annotations from 14 representative studies. We further compiled a robust set of miRNA TSSs (RSmirT) that are supported by multiple studies. Integrative genomic and epigenomic data analysis on RSmirT revealed the genomic and epigenomic features of miRNA TSSs as well as their relations to protein-coding and long non-coding genes. CONTACT: xiaoman@mail.ucf.edu, haihu@cs.ucf.edu.

Indexed as

Molecular Sequence AnnotationTranscription Initiation SiteAnimalsComputational BiologyHumansMicroRNAsMicroRNAsintergenic miRNAintragenic miRNAmiRNAmiRNA TSS

Identifiers

PMID32003428
PMCPMC7820843
OpenAlexW3004097159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.