Evidence map›Paper›PMID 24185836›Full record

ArticleNature methods2013

Systematic evaluation of spliced alignment programs for RNA-seq data.

Pär G Engström, Tamara Steijger, Botond Sipos, Gregory R Grant, André Kahles, Gunnar Rätsch, Nick Goldman, Tim J Hubbard, Jennifer Harrow, Roderic Guigó and 2 more

Abstract read
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 307 papers.

0numbers the graph read from it
0cells of the map it votes in
307citing 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

307 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  14. Article
  15. Article
  16. Comprehensive Transcriptome Annotation of Thousands of HIV-1 Genomes.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Pär G Engström1] European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK. [2].
Tamara Steijger
Botond Sipos
Gregory R Grant
André Kahles
Gunnar Rätsch
Nick Goldman
Tim J Hubbard
Jennifer Harrow
Roderic Guigó
Paul Bertone
RGASP Consortium

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Comprehensive Characterization and Classification of the Human TranscriptomeU54HG004557 · NHGRI · COLD SPRING HARBOR LABORATORY · PI GINGERAS, THOMAS RAYMOND · 2007 to 2011
$14.5M
Integrated human genome annotation: generation of a reference gene setU54HG004555 · NHGRI · SANGER INSTITUTE · PI HUBBARD, TIMOTHY JOHN · 2007 to 2012
$11.2M
Unlocking transcript diversity via differential analyses of splice graphsR01HG006272 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, JINZE, PRINS, JAN F · 2012 to 2014
$1.2M
NHGRI NIH HHS R01 HG006272NHGRI NIH HHS U41 HG007234NHGRI NIH HHS U54 HG004555NHGRI NIH HHS U54HG004555NHGRI NIH HHS U54 HG004557NHGRI NIH HHS U54HG004557Wellcome Trust 098051Wellcome Trust WT09805
6 · The paper itself

Abstract

High-throughput RNA sequencing is an increasingly accessible method for studying gene structure and activity on a genome-wide scale. A critical step in RNA-seq data analysis is the alignment of partial transcript reads to a reference genome sequence. To assess the performance of current mapping software, we invited developers of RNA-seq aligners to process four large human and mouse RNA-seq data sets. In total, we compared 26 mapping protocols based on 11 programs and pipelines and found major performance differences between methods on numerous benchmarks, including alignment yield, basewise accuracy, mismatch and gap placement, exon junction discovery and suitability of alignments for transcript reconstruction. We observed concordant results on real and simulated RNA-seq data, confirming the relevance of the metrics employed. Future developments in RNA-seq alignment methods would benefit from improved placement of multimapped reads, balanced utilization of existing gene annotation and a reduced false discovery rate for splice junctions.

Indexed as

RNA SplicingAnimalsChromosome MappingComputational BiologyExonsFalse Positive ReactionsHigh-Throughput Nucleotide SequencingHumansK562 CellsMiceReproducibility of ResultsRNA, MessengerSequence AlignmentSequence Analysis, RNASoftwareRNA, Messenger

Identifiers

PMID24185836
PMCPMC4018468

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.