Evidence map›Paper›PMID 25062255›Full record

ArticlePloS one2014

JAGuaR: junction alignments to genome for RNA-seq reads.

Yaron S Butterfield, Maayan Kreitzman, Nina Thiessen, Richard D Corbett, Yisu Li, Johnson Pang, Yussanne P Ma, Steven J M Jones, İnanç Birol

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Benchmarking RNA Editing Detection Tools.Biotech (Basel (Switzerland)) · 2023
    Review
  3. Article
  4. Article
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  7. Article
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  12. Review
  13. Article
  14. Article
  15. Allele-Specific Transcript Abundance: A Pilot Study in Healthy Centenarians.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Yaron S ButterfieldCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Maayan KreitzmanCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Nina ThiessenCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Richard D CorbettCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Yisu LiCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Johnson PangCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Yussanne P MaCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Steven J M JonesCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
İnanç BirolCanada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.

Funding

Cancer transcriptome characterization using massively parallel DNA sequencingU24CA143866 · NCI · BRITISH COLUMBIA CANCER AGENCY · PI MARRA, MARCO ANTONIO · 2009 to 2015
$10.9M
NCI NIH HHS U24 CA143866
6 · The paper itself

Abstract

JAGuaR is an alignment protocol for RNA-seq reads that uses an extended reference to increase alignment sensitivity. It uses BWA to align reads to the genome and reference transcript models (including annotated exon-exon junctions) specifically allowing for the possibility of a single read spanning multiple exons. Reads aligned to the transcript models are then re-mapped on to genomic coordinates, transforming alignments that span multiple exons into large-gapped alignments on the genome. While JAGuaR does not detect novel junctions, we demonstrate how JAGuaR generates fast and accurate transcriptome alignments, which allows for both sensitive and specific SNV calling.

Indexed as

SoftwareAlgorithmsAnimalsBase SequenceExonsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansRNARNA SplicingSequence AlignmentSequence Analysis, RNARNA

Identifiers

PMID25062255
PMCPMC4111418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.