Javascript must be enabled to continue!
Nanocall: an open source basecaller for Oxford Nanopore sequencing data
View through CrossRef
Abstract
Motivation
The highly portable Oxford Nanopore MinION sequencer has enabled new applications of genome sequencing directly in the field. However, the MinION currently relies on a cloud computing platform, Metrichor (metrichor.com), for translating locally generated sequencing data into basecalls.
Results
To allow offline and private analysis of MinION data, we created Nanocall. Nanocall is the first freely available, open-source basecaller for Oxford Nanopore sequencing data and does not require an internet connection. Using R7.3 chemistry, on two E.coli and two human samples, with natural as well as PCR-amplified DNA, Nanocall reads have ∼68% identity, directly comparable to Metrichor ‘1D’ data. Further, Nanocall is efficient, processing ∼2500 Kbp of sequence per core hour using the fastest settings, and fully parallelized. Using a 4 core desktop computer, Nanocall could basecall a MinION sequencing run in real time. Metrichor provides the ability to integrate the ‘1D’ sequencing of template and complement strands of a single DNA molecule, and create a ‘2D’ read. Nanocall does not currently integrate this technology, and addition of this capability will be an important future development. In summary, Nanocall is the first open-source, freely available, off-line basecaller for Oxford Nanopore sequencing data.
Availability and Implementation
Nanocall is available at github.com/mateidavid/nanocall, released under the MIT license.
Supplementary information
Supplementary data are available at Bioinformatics online.
Oxford University Press (OUP)
Title: Nanocall: an open source basecaller for Oxford Nanopore sequencing data
Description:
Abstract
Motivation
The highly portable Oxford Nanopore MinION sequencer has enabled new applications of genome sequencing directly in the field.
However, the MinION currently relies on a cloud computing platform, Metrichor (metrichor.
com), for translating locally generated sequencing data into basecalls.
Results
To allow offline and private analysis of MinION data, we created Nanocall.
Nanocall is the first freely available, open-source basecaller for Oxford Nanopore sequencing data and does not require an internet connection.
Using R7.
3 chemistry, on two E.
coli and two human samples, with natural as well as PCR-amplified DNA, Nanocall reads have ∼68% identity, directly comparable to Metrichor ‘1D’ data.
Further, Nanocall is efficient, processing ∼2500 Kbp of sequence per core hour using the fastest settings, and fully parallelized.
Using a 4 core desktop computer, Nanocall could basecall a MinION sequencing run in real time.
Metrichor provides the ability to integrate the ‘1D’ sequencing of template and complement strands of a single DNA molecule, and create a ‘2D’ read.
Nanocall does not currently integrate this technology, and addition of this capability will be an important future development.
In summary, Nanocall is the first open-source, freely available, off-line basecaller for Oxford Nanopore sequencing data.
Availability and Implementation
Nanocall is available at github.
com/mateidavid/nanocall, released under the MIT license.
Supplementary information
Supplementary data are available at Bioinformatics online.
Related Results
Nanocall: An Open Source Basecaller for Oxford Nanopore Sequencing Data
Nanocall: An Open Source Basecaller for Oxford Nanopore Sequencing Data
ABSTRACT
Motivation
The highly portable Oxford Nanopore MinlON sequencer has enabled new applications of genome sequencing dire...
Plant species-specific basecaller improves actual accuracy of nanopore sequencing
Plant species-specific basecaller improves actual accuracy of nanopore sequencing
Abstract
Background
Long-read sequencing platforms offered by Oxford Nanopore Technologies (ONT) allow native DNA containing epigenetic modifications to be directly sequen...
Species-specific basecallers improve actual accuracy of nanopore sequencing in plants
Species-specific basecallers improve actual accuracy of nanopore sequencing in plants
Abstract
Background
Long-read sequencing platforms offered by Oxford Nanopore Technologies (ONT) allow native DNA containing epigenetic modification...
238. Direct identification of Bacterial Species with MinION Nanopore Sequencer In Clinical Specimens Suspected of Polybacterial Infection
238. Direct identification of Bacterial Species with MinION Nanopore Sequencer In Clinical Specimens Suspected of Polybacterial Infection
Abstract
Background
Conventional culture tests usually identify only a few bacterial species, which can grow well in the culture...
Monitoring airborne pathogens by nanopore sequencing
Monitoring airborne pathogens by nanopore sequencing
Next generation sequencing technologies have revolutionized the field of environmental science. Widely used short-read sequencing enables accurate microbial identification but is o...
Quantitative detection of DNA methylation from nanopore sequencing data without raw signals
Quantitative detection of DNA methylation from nanopore sequencing data without raw signals
Abstract
Background
Nanopore sequencing has revolutionized the field of epigenomics by enabling direct detection of DNA m...
Pipeline for species-resolved full-length16S rRNA amplicon nanopore sequencing analysis of low-complexity bacterial microbiota
Pipeline for species-resolved full-length16S rRNA amplicon nanopore sequencing analysis of low-complexity bacterial microbiota
Abstract
16S rRNA amplicon sequencing is a fundamental tool for characterizing prokaryotic microbial communities. While short-read 16S rRNA sequencing is a proven s...
A Tear-Based Approach for Rapid Identification of Bacterial Pathogens in Corneal Ulcers Using Nanopore Sequencing
A Tear-Based Approach for Rapid Identification of Bacterial Pathogens in Corneal Ulcers Using Nanopore Sequencing
Abstract
Purpose
Corneal ulcers pose a significant threat to vision, with the need for prompt and precise pathogen identificati...

