Evidence map›Paper›PMID 22983261›Full record

ArticleProceedings. IEEE International Conference on Bioinformatics and Biomedicine2011

RNA2DMap: A Visual Exploration Tool of the Information in RNA's Higher-Order Structure.

Weijia Xu, Ame Wongsa, Jung Lee, Lei Shang, Jamie J Cannone, Robin R Gutell

Abstract read
In one paragraph

Article in Proceedings. IEEE International Conference on Bioinformatics and Biomedicine, 2011. 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. Article
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

6 authors.

Weijia XuTexas Advanced Computing Center The University of Texas at Austin Austin, Texas, USA.
Ame Wongsa
Jung Lee
Lei Shang
Jamie J Cannone
Robin R Gutell

Funding

The CRW Project: A Comparative Database of RNA MoleculesR01GM067317 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI GUTELL, ROBIN R · 2003 to 2012
$2.1M
Computational Foundations for Comparative RNA Sequence and StructureR01GM085337 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ELBER, RON, GUTELL, ROBIN R · 2008 to 2011
$1.1M
NIGMS NIH HHS R01 GM067317NIGMS NIH HHS R01 GM085337
6 · The paper itself

Abstract

A new and emerging paradigm in molecular biology is revealing that RNA is implicated in nearly every aspect of the metabolism in the cell. To enhance our understanding of the function of these RNA molecules in the cell, it is essential that we have a complete understanding of their higher-order structures. While many computational tools have been developed to predict and analyse these higher-order RNA structures, few are able to visualize them for analytical purposes. In this paper, we present an interactive visualization tool of the secondary structure of RNA, named RNA2DMap. This program enables multiple-dimensions of information about RNA structure to be selected, customized and displayed to visually identify patterns and relationships. RNA2DMap facilitates the comparative analysis and understanding of RNAs that cannot be readily obtained with other graphical or text output from computer programs. Three use cases are presented to illustrate how RNA2DMap aids structural analysis.

Identifiers

PMID22983261
PMCPMC3440442

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.