Evidence map›Paper›PMID 35804393›Full record

ArticleGenome biology2022

RATTLE: reference-free reconstruction and quantification of transcriptomes from Nanopore sequencing.

Ivan de la Rubia, Akanksha Srivastava, Wenjing Xue, Joel A Indi, Silvia Carbonell-Sala, Julien Lagarde, M Mar Albà, Eduardo Eyras

Abstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  7. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
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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

8 authors.

Ivan de la RubiaEMBL Australia Partner Laboratory Network at the Australian National University, Acton, Canberra, ACT, 2601, Australia.
Akanksha SrivastavaEMBL Australia Partner Laboratory Network at the Australian National University, Acton, Canberra, ACT, 2601, Australia.
Wenjing XueEMBL Australia Partner Laboratory Network at the Australian National University, Acton, Canberra, ACT, 2601, Australia.
Joel A IndiEMBL Australia Partner Laboratory Network at the Australian National University, Acton, Canberra, ACT, 2601, Australia.
Silvia Carbonell-SalaPompeu Fabra University (UPF), E08003, Barcelona, Spain.
Julien LagardePompeu Fabra University (UPF), E08003, Barcelona, Spain.
M Mar AlbàPompeu Fabra University (UPF), E08003, Barcelona, Spain. malba@imim.es.
Eduardo EyrasEMBL Australia Partner Laboratory Network at the Australian National University, Acton, Canberra, ACT, 2601, Australia. eduardo.eyras@anu.edu.au.ORCID 0000-0003-0793-6218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanopore sequencing enables the efficient and unbiased measurement of transcriptomes. Current methods for transcript identification and quantification rely on mapping reads to a reference genome, which precludes the study of species with a partial or missing reference or the identification of disease-specific transcripts not readily identifiable from a reference. We present RATTLE, a tool to perform reference-free reconstruction and quantification of transcripts using only Nanopore reads. Using simulated data and experimental data from isoform spike-ins, human tissues, and cell lines, we show that RATTLE accurately determines transcript sequences and their abundances, and shows good scalability with the number of transcripts.

Indexed as

NanoporesNanopore SequencingHigh-Throughput Nucleotide SequencingHumansProtein IsoformsTranscriptomeProtein Isoforms

Identifiers

PMID35804393
PMCPMC9264490

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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.