Evidence map›Paper›PMID 42871251›Full record

ArticleFrontiers in bioinformatics2026

TNRSim - a simulator of truncated oxford nanopore direct RNA long reads for isoform analysis.

Anna Kozlova, Artemiy Sakharov, Svetlana Tarbeeva, Ekaterina Ilgisonis, Elena Ponomarenko

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Anna KozlovaInstitute of Biomedical Chemistry, Moscow, Russia.
Artemiy SakharovInstitute of Biomedical Chemistry, Moscow, Russia.
Svetlana TarbeevaInstitute of Biomedical Chemistry, Moscow, Russia.
Ekaterina IlgisonisInstitute of Biomedical Chemistry, Moscow, Russia.
Elena PonomarenkoInstitute of Biomedical Chemistry, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Nanopore sequencing opens up new opportunities in transcriptome research due to the possibility of generating full-length isoform reads. However, currently available simulation software does not fully reproduce read truncation, a key feature of transcriptomic nanopore libraries. Methods: We developed TNRSim (Truncated Nanopore Reads Simulator), a nanopore transcriptome library simulator designed to reproduce realistic read-length distributions, sequencing errors, and quality scores. We further used simulated datasets with known isoform abundances to benchmark widely used isoform quantification tools. Results: TNRSim reproduced characteristic read-truncation patterns observed in empirical direct RNA sequencing datasets and provided improvements in read-length distribution, mismatch, and quality-score simulation compared with existing approaches. In a closed-set benchmark of isoform quantification methods, oarfish achieved the highest quantification accuracy among the tested tools. Discussion: TNRSim provides a framework for realistic simulation of transcriptomic nanopore sequencing data and enables controlled benchmarking of computational methods for isoform-level analysis.

Indexed as

alternative splicingdirect RNA sequencingisoform analysisnanopore sequencingsimulation

Identifiers

PMID42871251
PMCPMC13658594

What OpenQuestion holds

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Registered trials

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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.