Evidence map›Paper›PMID 37461039›Full record

ArticleGenome biology2023

Identifying and quantifying isoforms from accurate full-length transcriptome sequencing reads with Mandalorion.

Roger Volden, Kayla D Schimke, Ashley Byrne, Danilo Dubocanin, Matthew Adams, Christopher Vollmers

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. The circadian isoform landscape of mouse livers.NAR genomics and bioinformatics · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  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

6 authors.

Roger VoldenDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Kayla D SchimkeDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Ashley ByrneDepartment of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Danilo DubocaninDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Matthew AdamsDepartment of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Christopher VollmersDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA. vollmers@ucsc.edu.ORCID 0000-0002-7626-6222

Funding

Realizing the potential of long-read sequencing technologyR35GM133569 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Christopher Vollmers · 2019 to 2026
$3.4M
NIGMS NIH HHS R35 GM133569
6 · The paper itself

Abstract

In this manuscript, we introduce and benchmark Mandalorion v4.1 for the identification and quantification of full-length transcriptome sequencing reads. It further improves upon the already strong performance of Mandalorion v3.6 used in the LRGASP consortium challenge. By processing real and simulated data, we show three main features of Mandalorion: first, Mandalorion-based isoform identification has very high precision and maintains high recall even in the absence of any genome annotation. Second, isoform read counts as quantified by Mandalorion show a high correlation with simulated read counts. Third, isoforms identified by Mandalorion closely reflect the full-length transcriptome sequencing data sets they are based on.

Indexed as

High-Throughput Nucleotide SequencingTranscriptomeGene Expression ProfilingProtein IsoformsSequence Analysis, RNAProtein Isoforms

Identifiers

PMID37461039
PMCPMC10351160

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.