Evidence map›Paper›PMID 24772375›Full record

ArticleProceedings. IEEE International Conference on Bioinformatics and Biomedicine2011

R-PASS: A Fast Structure-based RNA Sequence Alignment Algorithm.

Yanan Jiang, Weijia Xu, Lee Parnell Thompson, Robin R Gutell, Daniel P Miranker

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. Not yet cited in PubMed.

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0citing 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yanan JiangInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, USA.
Weijia XuTexas Advanced Computing Center, The University of Texas at Austin, Austin, USA.
Lee Parnell ThompsonDepartment of Computer Science, The University of Texas at Austin, Austin, USA.
Robin R GutellInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, USA.
Daniel P MirankerDepartment of Computer Science, The University of Texas at Austin, Austin, USA.

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

We present a fast pairwise RNA sequence alignment method using structural information, named R-PASS (RNA Pairwise Alignment of Structure and Sequence), which shows good accuracy on sequences with low sequence identity and significantly faster than alternative methods. The method begins by representing RNA secondary structure as a set of structure motifs. The motifs from two RNAs are then used as input into a bipartite graph-matching algorithm, which determines the structure matches. The matches are then used as constraints in a constrained dynamic programming sequence alignment procedure. The R-PASS method has an O(nm) complexity. We compare our method with two other structure-based alignment methods, LARA and ExpaLoc, and with a sequence-based alignment method, MAFFT, across three benchmarks and obtain favorable results in accuracy and orders of magnitude faster in speed.

Indexed as

bipartite graph matchingconstraint sequence alignmentRNA pairwise structural alignmentstructure motif

Identifiers

PMID24772375
PMCPMC3999979

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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.