Evidence map›Paper›PMID 32520350›Full record

ArticleGigaScience2020

Trans-NanoSim characterizes and simulates nanopore RNA-sequencing data.

Saber Hafezqorani, Chen Yang, Theodora Lo, Ka Ming Nip, René L Warren, Inanc Birol

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

26 citing papers in PubMed, 34 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Saber HafezqoraniCanada's Michael Smith Genome Sciences Centre, 100 - 570 W 7th Ave, Vancouver, BC Cancer, BC V5Z 4S6 Canada.
Chen YangCanada's Michael Smith Genome Sciences Centre, 100 - 570 W 7th Ave, Vancouver, BC Cancer, BC V5Z 4S6 Canada.
Theodora LoCanada's Michael Smith Genome Sciences Centre, 100 - 570 W 7th Ave, Vancouver, BC Cancer, BC V5Z 4S6 Canada.
Ka Ming NipCanada's Michael Smith Genome Sciences Centre, 100 - 570 W 7th Ave, Vancouver, BC Cancer, BC V5Z 4S6 Canada.
René L WarrenCanada's Michael Smith Genome Sciences Centre, 100 - 570 W 7th Ave, Vancouver, BC Cancer, BC V5Z 4S6 Canada.
Inanc BirolCanada's Michael Smith Genome Sciences Centre, 100 - 570 W 7th Ave, Vancouver, BC Cancer, BC V5Z 4S6 Canada.
University of British Columbia · CACanada's Michael Smith Genome Sciences Centre · CA

Funding

De Novo Assembly Tools: Research with Unbiased Engines - Renewal (DNA-TRUER)R01HG007182 · NHGRI · PROVINCIAL HEALTH SERVICES AUTHORITY · PI BIROL, INANC · 2014 to 2022
$1.9M
NHGRI NIH HHS R01 HG007182
6 · The paper itself

Abstract

backgroundCompared with second-generation sequencing technologies, third-generation single-molecule RNA sequencing has unprecedented advantages; the long reads it generates facilitate isoform-level transcript characterization. In particular, the Oxford Nanopore Technology sequencing platforms have become more popular in recent years owing to their relatively high affordability and portability compared with other third-generation sequencing technologies. To aid the development of analytical tools that leverage the power of this technology, simulated data provide a cost-effective solution with ground truth. However, a nanopore sequence simulator targeting transcriptomic data is not available yet.

findingsWe introduce Trans-NanoSim, a tool that simulates reads with technical and transcriptome-specific features learnt from nanopore RNA-sequncing data. We comprehensively benchmarked Trans-NanoSim on direct RNA and complementary DNA datasets describing human and mouse transcriptomes. Through comparison against other nanopore read simulators, we show the unique advantage and robustness of Trans-NanoSim in capturing the characteristics of nanopore complementary DNA and direct RNA reads.

conclusionsAs a cost-effective alternative to sequencing real transcriptomes, Trans-NanoSim will facilitate the rapid development of analytical tools for nanopore RNA-sequencing data. Trans-NanoSim and its pre-trained models are freely accessible at https://github.com/bcgsc/NanoSim.

Indexed as

High-Throughput Nucleotide SequencingSoftwareComputational BiologyGene Expression ProfilingGenomicsReproducibility of ResultsTranscriptomeWorkflownanopore sequencingRNA-seqsequence simulationtranscriptome

Identifiers

PMID32520350
PMCPMC7285873
OpenAlexW3033216646

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.