Evidence map›Paper›PMID 21794104›Full record

ArticleBMC bioinformatics2011

IsoformEx: isoform level gene expression estimation using weighted non-negative least squares from mRNA-Seq data.

Hyunsoo Kim, Yingtao Bi, Sharmistha Pal, Ravi Gupta, Ramana V Davuluri

Abstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

The trial behind it

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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

17 citing papers in PubMed.

  1. Article
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  9. RNA-Seq technology and its application in fish transcriptomics.Omics : a journal of integrative biology · 2014
    Review
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  11. Article
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  13. Article
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  16. DBATE: database of alternative transcripts expression.Database : the journal of biological databases and curation · 2013
    Article
  17. 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

5 authors.

Hyunsoo KimCenter for Systems and Computational Biology, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104-4268, USA.
Yingtao Bi
Sharmistha Pal
Ravi Gupta
Ramana V Davuluri

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9M
NCI NIH HHS P30 CA010815)
6 · The paper itself

Abstract

backgroundmRNA-Seq technology has revolutionized the field of transcriptomics for identification and quantification of gene transcripts not only at gene level but also at isoform level. Estimating the expression levels of transcript isoforms from mRNA-Seq data is a challenging problem due to the presence of constitutive exons.

resultsWe propose a novel algorithm (IsoformEx) that employs weighted non-negative least squares estimation method to estimate the expression levels of transcript isoforms. Validations based on in silico simulation of mRNA-Seq and qRT-PCR experiments with real mRNA-Seq data showed that IsoformEx could accurately estimate transcript expression levels. In comparisons with published methods, the transcript expression levels estimated by IsoformEx showed higher correlation with known transcript expression levels from simulated mRNA-Seq data, and higher agreement with qRT-PCR measurements of specific transcripts for real mRNA-Seq data.

conclusionsIsoformEx is a fast and accurate algorithm to estimate transcript expression levels and gene expression levels, which takes into account short exons and alternative exons with a weighting scheme. The software is available at http://bioinformatics.wistar.upenn.edu/isoformex.

Indexed as

AlgorithmsCell Line, TumorExonsGene Expression ProfilingHumansLeast-Squares AnalysisProtein IsoformsRNA, MessengerSequence Analysis, RNASoftwareProtein IsoformsRNA, Messenger

Identifiers

PMID21794104
PMCPMC3180389

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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.