Evidence map›Paper›PMID 21840877›Full record

ArticleBioinformatics (Oxford, England)2011

ChimeraScan: a tool for identifying chimeric transcription in sequencing data.

Matthew K Iyer, Arul M Chinnaiyan, Christopher A Maher

Abstract 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 162 papers.

0numbers the graph read from it
0cells of the map it votes in
162citing 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

162 citing papers in PubMed.

  1. Article
  2. Article
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  4. SDC1 is a critical transmembrane proteoglycan in breast cancer.World journal of surgical oncology · 2025
    Review
  5. Article
  6. Article
  7. Article
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  9. A Protocol for the Detection of Fusion Transcripts Using RNA-Sequencing Data.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  19. Article
  20. Article

102 more citing papers are in PubMed but not listed here.

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

3 authors.

Matthew K IyerMichigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Arul M Chinnaiyan
Christopher A Maher

Funding

Characterization of Cancer Transcriptomes using Next Generation SequencingR00CA149182 · NCI · WASHINGTON UNIVERSITY · PI MAHER, CHRISTOPHER A · 2011 to 2013
$685k
Characterization of Cancer Transcriptomes using Next Generation SequencingK99CA149182 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MAHER, CHRISTOPHER A · 2010 to 2011
$208k
NCI NIH HHS K99 CA149182-01NCI NIH HHS R00 CA149182
6 · The paper itself

Abstract

summaryNext generation sequencing (NGS) technologies have enabled de novo gene fusion discovery that could reveal candidates with therapeutic significance in cancer. Here we present an open-source software package, ChimeraScan, for the discovery of chimeric transcription between two independent transcripts in high-throughput transcriptome sequencing data. AVAILABILITY: http://chimerascan.googlecode.com CONTACT: cmaher@dom.wustl.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Gene FusionHigh-Throughput Nucleotide SequencingSequence Analysis, RNASoftwareCell Line, TumorGene Expression ProfilingHumansNeoplasmsTranscription, Genetic

Identifiers

PMID21840877
PMCPMC3187648

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.