Evidence map›Paper›PMID 28784092›Full record

ArticleBMC genomics2017

Evaluation and comparison of computational tools for RNA-seq isoform quantification.

Chi Zhang, Baohong Zhang, Lih-Ling Lin, Shanrong Zhao

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

  1. Article
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  7. SnakeAltPromoter Facilitates Differential Alternative Promoter Analysis.Computational and structural biotechnology journal · 2026
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  9. Perplexity as a Metric for Isoform Diversity in the Human Transcriptome.bioRxiv : the preprint server for biology · 2025
    Article
  10. Identification of potential biomarkers for hypertension based on transcriptomic analysis in rats.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  11. Article
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  13. Transcriptomic Analysis ofPlants (Basel, Switzerland) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

42 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

4 authors.

Chi ZhangEarly Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, 02139, USA.
Baohong ZhangEarly Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, 02139, USA.
Lih-Ling LinInflammation and Immunology RU, Pfizer Worldwide R&D, Cambridge, MA, 02139, USA.
Shanrong ZhaoEarly Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, 02139, USA. Shanrong.Zhao@pfizer.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlternatively spliced transcript isoforms are commonly observed in higher eukaryotes. The expression levels of these isoforms are key for understanding normal functions in healthy tissues and the progression of disease states. However, accurate quantification of expression at the transcript level is limited with current RNA-seq technologies because of, for example, limited read length and the cost of deep sequencing.

resultsA large number of tools have been developed to tackle this problem, and we performed a comprehensive evaluation of these tools using both experimental and simulated RNA-seq datasets. We found that recently developed alignment-free tools are both fast and accurate. The accuracy of all methods was mainly influenced by the complexity of gene structures and caution must be taken when interpreting quantification results for short transcripts. Using TP53 gene simulation, we discovered that both sequencing depth and the relative abundance of different isoforms affect quantification accuracy

conclusionsOur comprehensive evaluation helps data analysts to make informed choice when selecting computational tools for isoform quantification.

Indexed as

Genes, p53RNA IsoformsRNA, MessengerSequence Analysis, RNARNA IsoformsRNA, MessengerData analysisIsoformKallistoQuantificationRNA-seqRSEMSalfishSalmon

Identifiers

PMID28784092
PMCPMC5547501

What OpenQuestion holds

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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.