Evidence map›Paper›PMID 21330288›Full record

ArticleBioinformatics (Oxford, England)2011

Sensitive gene fusion detection using ambiguously mapping RNA-Seq read pairs.

Marcus Kinsella, Olivier Harismendy, Masakazu Nakano, Kelly A Frazer, Vineet Bafna

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

30 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Identification ofOncotarget · 2017
    Article
  6. Article
  7. Article
  8. Identifying fusion transcripts using next generation sequencing.Wiley interdisciplinary reviews. RNA · 2016
    Review
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  10. Article
  11. Review
  12. Article
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  16. Review
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  19. Review
  20. Existing and emerging technologies for tumor genomic profiling.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2013
    Review
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 at 2 institutions in 2 countries.

Marcus KinsellaBioinformatics and Systems Biology Program, Moores UCSD Cancer Center, Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA. mckinsel@ucsd.edu
Olivier Harismendy
Masakazu Nakano
Kelly A Frazer
Vineet Bafna
University of California, San Diego · USKyoto Prefectural University of Medicine · JP

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
Algorithmic strategies for detecting structural variation in genomesR01HG004962 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET · 2009 to 2012
$1.3M
Biomarkers of Disease Progression in CLLR21CA152613 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRAZER, KELLY A · 2010 to 2011
$367k
NCI NIH HHS 1R21CA152613-01NCI NIH HHS R21 CA152613NCRR NIH HHS CTSA-1U54RR025204NHGRI NIH HHS R01 HG004962NHGRI NIH HHS R01-HG004962NHLBI NIH HHS 5U54HL108460NHLBI NIH HHS U54 HL108460
6 · The paper itself

Abstract

motivationPaired-end whole transcriptome sequencing provides evidence for fusion transcripts. However, due to the repetitiveness of the transcriptome, many reads have multiple high-quality mappings. Previous methods to find gene fusions either ignored these reads or required additional longer single reads. This can obscure up to 30% of fusions and unnecessarily discards much of the data.

resultsWe present a method for using paired-end reads to find fusion transcripts without requiring unique mappings or additional single read sequencing. Using simulated data and data from tumors and cell lines, we show that our method can find fusions with ambiguously mapping read pairs without generating numerous spurious fusions from the many mapping locations. AVAILABILITY: A C++ and Python implementation of the method demonstrated in this article is available at http://exon.ucsd.edu/ShortFuse. CONTACT: mckinsel@ucsd.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Gene FusionCell LineGene Expression ProfilingHumansMaleProstatic NeoplasmsRNA, MessengerSequence Analysis, RNARNA, Messenger

Identifiers

PMID21330288
PMCPMC3072550
OpenAlexW2129495613

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.