Evidence map›Paper›PMID 37024927›Full record

ArticleGenome biology2023

Flexible and efficient handling of nanopore sequencing signal data with slow5tools.

Hiruna Samarakoon, James M Ferguson, Sasha P Jenner, Timothy G Amos, Sri Parameswaran, Hasindu Gamaarachchi, Ira W Deveson

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  13. Comparison of CcrM-dependent methylation inJournal of bacteriology · 2024
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  18. Comparison of CcrM-dependent methylation inbioRxiv : the preprint server for biology · 2024
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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.

Hiruna SamarakoonGenomics Pillar, Garvan Institute of Medical Research, Sydney, NSW, Australia.
James M FergusonGenomics Pillar, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Sasha P JennerGenomics Pillar, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Timothy G AmosGenomics Pillar, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Sri ParameswaranSchool of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.
Hasindu Gamaarachchi *Genomics Pillar, Garvan Institute of Medical Research, Sydney, NSW, Australia. hasindu@garvan.org.au.
Ira W Deveson *Genomics Pillar, Garvan Institute of Medical Research, Sydney, NSW, Australia. i.deveson@garvan.org.au.ORCID 0000-0003-3861-0472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanopore sequencing is being rapidly adopted in genomics. We recently developed SLOW5, a new file format with advantages for storage and analysis of raw signal data from nanopore experiments. Here we introduce slow5tools, an intuitive toolkit for handling nanopore data in SLOW5 format. Slow5tools enables lossless data conversion and a range of tools for interacting with SLOW5 files. Slow5tools uses multi-threading, multi-processing, and other engineering strategies to achieve fast data conversion and manipulation, including live FAST5-to-SLOW5 conversion during sequencing. We provide examples and benchmarking experiments to illustrate slow5tools usage, and describe the engineering principles underpinning its performance.

Indexed as

NanoporesNanopore SequencingGenomicsHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareNanopore sequencingNanopore signal dataSLOW5Toolkit

Identifiers

PMID37024927
PMCPMC10080837

What Socratic 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 Socratic graph.