Evidence map›Paper›PMID 40032587›Full record

ArticleGenome research2025

Quality assessment of long read data in multisample lrRNA-seq experiments using SQANTI-reads.

Netanya Keil, Carolina Monzó, Lauren McIntyre, Ana Conesa

Abstract read
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
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  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Netanya KeilDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida 32610, USA.ORCID 0009-0006-3921-7778
Carolina MonzóInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), Paterna 46980, Spain.ORCID 0000-0002-5043-8145
Lauren McIntyreDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida 32610, USA; ana.conesa@csic.es mcintyre@ufl.edu.ORCID 0000-0002-0077-3359
Ana ConesaInstitute for Integrative Systems Biology (I2SysBio), Spanish National Research Council (CSIC), Paterna 46980, Spain; ana.conesa@csic.es mcintyre@ufl.edu.ORCID 0000-0001-9597-311X

Funding

"Project 3" MHV68 IncRNA/miRNA interaction in latency and lympomagenesisP01CA214091 · NCI · UNIVERSITY OF FLORIDA · PI Scott A. Tibbetts · 2017 to 2026
$15.9M
Rapid evolution of pigmentation in D. melanogaster: from cis regulation to phenotypeR01GM137430 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI MCINTYRE, LAUREN M., SCHMIDT, PAUL · 2021 to 2024
$2.2M
Development of methods for transcript quantification anddifferential expression analysis using long-read sequencing technologiesR21HG011280 · NHGRI · UNIVERSITY OF FLORIDA · PI CONESA CEGARRA, ANA VICTORIA · 2020 to 2020
$307k
European Research Council 101149931NCI NIH HHS P01 CA214091NHGRI NIH HHS R21 HG011280NIGMS NIH HHS R01 GM137430
6 · The paper itself

Abstract

SQANTI-reads leverages SQANTI3, a tool for the analysis of the quality of transcript models, to develop a read-level quality control framework for replicated long-read RNA-seq experiments. The number and distribution of reads, as well as the number and distribution of unique junction chains (transcript splicing patterns), in SQANTI3 structural categories are informative of raw data quality. Multisample visualizations of QC metrics are presented by experimental design factors to identify outliers. We introduce new metrics for (1) the identification of potentially under-annotated genes and putative novel transcripts and for (2) quantifying variation in junction donors and acceptors. We applied SQANTI-reads to two different data sets, a

Indexed as

RNA-SeqSequence Analysis, RNASoftwareAnimalsDrosophilaDrosophila melanogasterQuality ControlRNA Splicing

Identifiers

PMID40032587
PMCPMC12047275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.