Evidence map›Paper›PMID 36593406›Full record

ArticleNature biotechnology2023

Accurate isoform discovery with IsoQuant using long reads.

Andrey D Prjibelski, Alla Mikheenko, Anoushka Joglekar, Alexander Smetanin, Julien Jarroux, Alla L Lapidus, Hagen U Tilgner

Abstract read
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers.

0numbers the graph read from it
0cells of the map it votes in
192citing 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

192 citing papers in PubMed.

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132 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

7 authors.

Andrey D Prjibelski *Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia. andrewprzh@gmail.com.ORCID 0000-0003-2816-4608
Alla Mikheenko *Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.
Anoushka JoglekarTri-Institutional Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-7818-6867
Alexander SmetaninBioinformatics Institute, St. Petersburg, Russia.
Julien JarrouxBrain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-7185-6960
Alla L LapidusCenter for Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.ORCID 0000-0003-0427-8731
Hagen U TilgnerBrain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA. hut2006@med.cornell.edu.ORCID 0000-0002-7058-3606

Funding

Saint Petersburg State University (St. Petersburg State University) 93023437
6 · The paper itself

Abstract

Annotating newly sequenced genomes and determining alternative isoforms from long-read RNA data are complex and incompletely solved problems. Here we present IsoQuant-a computational tool using intron graphs that accurately reconstructs transcripts both with and without reference genome annotation. For novel transcript discovery, IsoQuant reduces the false-positive rate fivefold and 2.5-fold for Oxford Nanopore reference-based or reference-free mode, respectively. IsoQuant also improves performance for Pacific Biosciences data.

Indexed as

High-Throughput Nucleotide SequencingRNAGenomeProtein IsoformsSequence Analysis, DNASequence Analysis, RNAProtein IsoformsRNA

Identifiers

PMID36593406
PMCPMC10344776

What OpenQuestion holds

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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.