Evidence map›Paper›PMID 24831547›Full record

ArticleNucleic acids research2014

RASS: a web server for RNA alignment in the joint sequence-structure space.

Gewen He, Albert Steppi, Jose Laborde, Anuj Srivastava, Peixiang Zhao, Jinfeng Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Gewen HeDepartment of Computer Science, Florida State University, Tallahassee, FL 32306, USA.
Albert SteppiDepartment of Statistics, Florida State University, Tallahassee, FL 32306, USA.
Jose LabordeDepartment of Statistics, Florida State University, Tallahassee, FL 32306, USA.
Anuj SrivastavaDepartment of Statistics, Florida State University, Tallahassee, FL 32306, USA.
Peixiang ZhaoDepartment of Computer Science, Florida State University, Tallahassee, FL 32306, USA.
Jinfeng ZhangDepartment of Statistics, Florida State University, Tallahassee, FL 32306, USA Jinfeng@stat.fsu.edu.

Funding

Elastic Shape Analysis for Protein Structure Alignment-New Advancement in an OldR21GM101552 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHANG, JINFENG · 2012 to 2013
$375k
NIGMS NIH HHS 1R21GM101552
6 · The paper itself

Abstract

Comparison of ribonucleic acid (RNA) molecules is important for revealing their evolutionary relationships, predicting their functions and predicting their structures. Many methods have been developed for comparing RNAs using either sequence or three-dimensional (3D) structure (backbone geometry) information. Sequences and 3D structures contain non-overlapping sets of information that both determine RNA functions. When comparing RNA 3D structures, both types of information need to be taken into account. However, few methods compare RNA structures using both sequence and 3D structure information. Recently, we have developed a new method based on elastic shape analysis (ESA) that compares RNA molecules by combining both sequence and 3D structure information. ESA treats RNA structures as 3D curves with sequence information encoded on additional coordinates so that the alignment can be performed in the joint sequence-structure space. The similarity between two RNA molecules is quantified by a formal distance, geodesic distance. In this study, we implement a web server for the method, called RASS, to make it publicly available to research community. The web server is located at http://cloud.stat.fsu.edu/RASS/.

Indexed as

SoftwareInternetNucleic Acid ConformationRNASequence AlignmentSequence Analysis, RNARNA

Identifiers

PMID24831547
PMCPMC4086137

What OpenQuestion holds

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Registered trials

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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.