Evidence map›Paper›PMID 21079731›Full record

ArticlePloS one2010

HMMSplicer: a tool for efficient and sensitive discovery of known and novel splice junctions in RNA-Seq data.

Michelle T Dimon, Katherine Sorber, Joseph L DeRisi

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Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Michelle T DimonDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, United States of America.
Katherine Sorber
Joseph L DeRisi

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

backgroundHigh-throughput sequencing of an organism's transcriptome, or RNA-Seq, is a valuable and versatile new strategy for capturing snapshots of gene expression. However, transcriptome sequencing creates a new class of alignment problem: mapping short reads that span exon-exon junctions back to the reference genome, especially in the case where a splice junction is previously unknown. METHODOLOGY/PRINCIPAL

findingsHere we introduce HMMSplicer, an accurate and efficient algorithm for discovering canonical and non-canonical splice junctions in short read datasets. HMMSplicer identifies more splice junctions than currently available algorithms when tested on publicly available A. thaliana, P. falciparum, and H. sapiens datasets without a reduction in specificity. CONCLUSIONS/SIGNIFICANCE: HMMSplicer was found to perform especially well in compact genomes and on genes with low expression levels, alternative splice isoforms, or non-canonical splice junctions. Because HHMSplicer does not rely on pre-built gene models, the products of inexact splicing are also detected. For H. sapiens, we find 3.6% of 3' splice sites and 1.4% of 5' splice sites are inexact, typically differing by 3 bases in either direction. In addition, HMMSplicer provides a score for every predicted junction allowing the user to set a threshold to tune false positive rates depending on the needs of the experiment. HMMSplicer is implemented in Python. Code and documentation are freely available at http://derisilab.ucsf.edu/software/hmmsplicer.

Indexed as

AlgorithmsGene Expression ProfilingAnimalsArabidopsisComputational BiologyHumansPlasmodium falciparumReproducibility of ResultsRNA Splice SitesRNA SplicingRNA Splice Sites

Identifiers

PMID21079731
PMCPMC2975632

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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.