Evidence map›Paper›PMID 33326067›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Visualization of lncRNA and mRNA Structure Models Within the Integrative Genomics Viewer.

Steven Busan, Kevin M Weeks

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Steven BusanDepartment of Chemistry, University of North Carolina, Chapel Hill, NC, USA.
Kevin M WeeksDepartment of Chemistry, University of North Carolina, Chapel Hill, NC, USA. weeks@unc.edu.

Funding

Structure of the HIV-1 GenomeR01AI068462 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEEKS, KEVIN M · 2006 to 2020
$7.4M
Non-coding RNA structure change in Chronic Obstructive Pulmonary DiseaseR01HL111527 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Alain T Laederach, Kevin M Weeks · 2012 to 2026
$6.6M
Discovery and Function of Higher-Order RNA StructureR35GM122532 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Kevin M Weeks · 2017 to 2026
$5.7M
Predicting the causative SNPs in LD blocks by allele-specific structural analysisR01HG008133 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LAEDERACH, ALAIN T, WEEKS, KEVIN M · 2015 to 2017
$2.4M
NHGRI NIH HHS R01 HG008133NHLBI NIH HHS R01 HL111527NIAID NIH HHS R01 AI068462NIGMS NIH HHS R35 GM122532
6 · The paper itself

Abstract

Every class of RNA forms base-paired structures that impact biological functions. Chemical probing of RNA structure, especially with the advent of strategies such as SHAPE-MaP, vastly expands the scale and quantitative accuracy over which RNA structure can be examined. These methods have enabled large-scale structural studies of mRNAs and lncRNAs, but the length and complexity of these RNAs makes interpretation of the data challenging. We have created modules available through the open-source Integrative Genomics Viewer (IGV) for straightforward visualization of RNA structures along with complementary experimental data. Here we present detailed and stepwise strategies for exploring and visualizing complex RNA structures in IGV. Individuals can use these instructions and supplied sample data to become adept at using IGV to visualize RNA structure models in conjunction with useful allied information.

Indexed as

Models, MolecularAnimalsEscherichia coliGenomicsMiceProtein BiosynthesisRepetitive Sequences, Nucleic AcidRNA, Long NoncodingRNA, MessengerSoftwareRNA, Long NoncodingRNA, MessengerBase pairingIntegrative Genomics ViewerlncRNAmRNARNA structureSHAPE-MaP

Identifiers

PMID33326067
PMCPMC7935467

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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.