Evidence map›Paper›PMID 30689855›Full record

ArticleGigaScience2019

NanoPipe-a web server for nanopore MinION sequencing data analysis.

Victoria Shabardina, Tabea Kischka, Felix Manske, Norbert Grundmann, Martin C Frith, Yutaka Suzuki, Wojciech Makałowski

Abstract read
In one paragraph

Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Bioinformatics of nanopore sequencing.Journal of human genetics · 2020
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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

7 authors.

Victoria ShabardinaInstitue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany.
Tabea KischkaInstitue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany.
Felix ManskeInstitue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany.
Norbert GrundmannInstitue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany.
Martin C FrithArtificial Intelligence Research Center, AIST, 2-3-26, Aomi, Koto-ku, Tokyo, 135-0064, Japan.
Yutaka SuzukiLaboratory of Systems Genomics, Department of Computational Biology and Medical Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8562, Japan.
Wojciech MakałowskiInstitue of Bioinformatics, University of Muenster, Niels-Stensen-Strasse 14, Muenster, 48149, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe fast-moving progress of the third-generation long-read sequencing technologies will soon bring the biological and medical sciences to a new era of research. Altogether, the technique and experimental procedures are becoming more straightforward and available to biologists from diverse fields, even without any profound experience in DNA sequencing. Thus, the introduction of the MinION device by Oxford Nanopore Technologies promises to "bring sequencing technology to the masses" and also allows quick and operative analysis in field studies. However, the convenience of this sequencing technology dramatically contrasts with the available analysis tools, which may significantly reduce enthusiasm of a "regular" user. To really bring the sequencing technology to every biologist, we need a set of user-friendly tools that can perform a powerful analysis in an automatic manner.

findingsNanoPipe was developed in consideration of the specifics of the MinION sequencing technologies, providing accordingly adjusted alignment parameters. The range of the target species/sequences for the alignment is not limited, and the descriptive usage page of NanoPipe helps a user to succeed with NanoPipe analysis. The results contain alignment statistics, consensus sequence, polymorphisms data, and visualization of the alignment. Several test cases are used to demonstrate the efficiency of the tool.

conclusionsFreely available NanoPipe software allows effortless and reliable analysis of MinION sequencing data for experienced bioinformaticians, as well for wet-lab biologists with minimum bioinformatics knowledge. Moreover, for the latter group, we describe the basic algorithm necessary for MinION sequencing analysis from the first to last step.

Indexed as

GenomeSoftwareAlgorithmsAnimalsEukaryotaGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAbioinformatics softwarelong-reads sequencingMinIONOxford Nanoporesequencing technologies

Identifiers

PMID30689855
PMCPMC6377397

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.