Evidence map›Paper›PMID 31068132›Full record

ArticleBMC bioinformatics2019

SpliceV: analysis and publication quality printing of linear and circular RNA splicing, expression and regulation.

Nathan Ungerleider, Erik Flemington

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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

2 authors.

Nathan UngerleiderDepartment of Pathology, Tulane Cancer Center, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
Erik FlemingtonDepartment of Pathology, Tulane Cancer Center, Tulane University School of Medicine, New Orleans, LA, 70112, USA. erik@tulane.edu.

Funding

"Project 3" MHV68 IncRNA/miRNA interaction in latency and lympomagenesisP01CA214091 · NCI · UNIVERSITY OF FLORIDA · PI ERIK K FLEMINGTON · 2017 to 2026
$15.9M
Epstein Barr virus antisense transcriptionR01AI106676 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI FLEMINGTON, ERIK K · 2014 to 2018
$1.9M
RPMS1 circular RNAs in EBV malignanciesR01CA243793 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI FLEMINGTON, ERIK K · 2019 to 2023
$1.8M
Assessing the EBV circular RNAomeR21CA236549 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI FLEMINGTON, ERIK K · 2019 to 2020
$362k
NCI NIH HHS P01 CA214091NCI NIH HHS R01 CA243793NCI NIH HHS R21 CA236549NIAID NIH HHS R01 AI106676NIH HHS P01CA214091NIH HHS R01AI106676U.S. Department of Defense W81XWH-16-1-0318
6 · The paper itself

Abstract

backgroundIn eukaryotes, most genes code for multiple transcript isoforms that are generated through the complex and tightly regulated process of RNA splicing. Despite arising from identical precursor transcripts, alternatively spliced RNAs can have dramatically different functions. Transcriptome complexity is elevated further by the production of circular RNAs (circRNAs), another class of mature RNA that results from the splicing of a downstream splice donor to an upstream splice acceptor. While there has been a rapid expansion of circRNA catalogs in the last few years through the utilization of next generation sequencing approaches, our understanding of the mechanisms and regulation of circular RNA biogenesis, the impact that circRNA generation has on parental transcript processing, and the functions carried out by circular RNAs remains limited.

resultsHere, we present a visualization and analysis tool, SpliceV, that rapidly plots all relevant forward- and back-splice data, with exon and single nucleotide level coverage information from RNA-seq experiments in a publication quality format. SpliceV also integrates analysis features that assist investigations into splicing regulation and transcript functions through the display of predicted RNA binding protein sites and the configuration of repetitive elements along the primary transcript.

conclusionsSpliceV is an easy-to-use splicing visualization tool, compatible with both Python 2.7 and 3+, and distributed under the GNU Public License. The source code is freely available for download at https://github.com/flemingtonlab/SpliceV and can be installed from PyPI using pip.

Indexed as

Alternative SplicingExonsHigh-Throughput Nucleotide SequencingHumansRNARNA-Binding ProteinsRNA, CircularRNA SplicingRNARNA-Binding ProteinsRNA, CircularAlternative splicingcircRNAExon skippingIntron retentionIsoform

Identifiers

PMID31068132
PMCPMC6507234

What OpenQuestion holds

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LicenceCC BY
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.