Evidence map›Paper›PMID 27941783›Full record

ArticleNature methods2017

Simulation-based comprehensive benchmarking of RNA-seq aligners.

Giacomo Baruzzo, Katharina E Hayer, Eun Ji Kim, Barbara Di Camillo, Garret A FitzGerald, Gregory R Grant

Abstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers.

0numbers the graph read from it
0cells of the map it votes in
143citing 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

143 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

83 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

6 authors.

Giacomo BaruzzoDepartment of Information Engineering, University of Padova, Padua, Italy.
Katharina E HayerInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Eun Ji KimInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Barbara Di CamilloDepartment of Information Engineering, University of Padova, Padua, Italy.ORCID 0000-0001-8415-4688
Garret A FitzGeraldInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Gregory R GrantInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Pilot Study: POPULATION PHARMACOLOGYU54HL117798 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2016
$18.5M
NCATS NIH HHS UL1 TR001878NHLBI NIH HHS U54 HL117798
6 · The paper itself

Abstract

Alignment is the first step in most RNA-seq analysis pipelines, and the accuracy of downstream analyses depends heavily on it. Unlike most steps in the pipeline, alignment is particularly amenable to benchmarking with simulated data. We performed a comprehensive benchmarking of 14 common splice-aware aligners for base, read, and exon junction-level accuracy and compared default with optimized parameters. We found that performance varied by genome complexity, and accuracy and popularity were poorly correlated. The most widely cited tool underperforms for most metrics, particularly when using default settings.

Indexed as

BenchmarkingComputer SimulationExonsGenome, HumanHumansIntronsMolecular Sequence AnnotationPlasmodium falciparumPolymorphism, GeneticRNA SplicingSequence AlignmentSequence Analysis, RNASoftware

Identifiers

PMID27941783
PMCPMC5792058

What OpenQuestion holds

Textmetadata
LicenceTDM
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.