Evidence map›Paper›PMID 19762346›Full record

ArticleBioinformatics (Oxford, England)2009

Identifiability of isoform deconvolution from junction arrays and RNA-Seq.

David Hiller, Hui Jiang, Weihong Xu, Wing Hung Wong

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Deriving Ranges of Optimal Estimated Transcript Expression due to Nonidentifiability.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. RNA-Seq Data: A Complexity Journey.Computational and structural biotechnology journal · 2014
    Review
  9. Review
  10. Article
  11. Article
  12. Characterization of the human ESC transcriptome by hybrid sequencing.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

4 authors.

David HillerDepartment of Statistics, Stanford University, Stanford, CA 94305, USA.
Hui Jiang
Weihong Xu
Wing Hung Wong

Funding

Inflammation and the Response to InjuryU54GM062119 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI TOMPKINS, RONALD GARY · 2001 to 2010
$78.6M
Statistical Analysis of Exon ArraysR01HG004634 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2008 to 2011
$1.4M
NHGRI NIH HHS R01 HG004634NHGRI NIH HHS R01-HG004634NIGMS NIH HHS U54 GM062119NIGMS NIH HHS U54-GM062119
6 · The paper itself

Abstract

motivationSplice junction microarrays and RNA-seq are two popular ways of quantifying splice variants within a cell. Unfortunately, isoform expressions cannot always be determined from the expressions of individual exons and splice junctions. While this issue has been noted before, the extent of the problem on various platforms has not yet been explored, nor have potential remedies been presented.

resultsWe propose criteria that will guarantee identifiability of an isoform deconvolution model on exon and splice junction arrays and in RNA-Seq. We show that up to 97% of 2256 alternatively spliced human genes selected from the RefSeq database lead to identifiable gene models in RNA-seq, with similar results in mouse. However, in the Human Exon array only 26% of these genes lead to identifiable models, and even in the most comprehensive splice junction array only 69% lead to identifiable models. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Alternative SplicingAnimalsBase SequenceComputational BiologyGene Expression ProfilingHumansMiceOligonucleotide Array Sequence AnalysisProtein IsoformsRNAProtein IsoformsRNA

Identifiers

PMID19762346
PMCPMC3167695

What OpenQuestion holds

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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.