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Performance of neural network basecalling tools for Oxford Nanopore sequencing

Performance of neural network basecalling tools for Oxford Nanopore sequencing

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7f8648c885cd4e4289a3cdabb1f9fbd3

Performance of neural network basecalling tools for Oxford Nanopore sequencing

About this item

Full title

Performance of neural network basecalling tools for Oxford Nanopore sequencing

Publisher

England: BioMed Central Ltd

Journal title

Genome Biology, 2019-06, Vol.20 (1), p.129-129, Article 129

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Basecalling, the computational process of translating raw electrical signal to nucleotide sequence, is of critical importance to the sequencing platforms produced by Oxford Nanopore Technologies (ONT). Here, we examine the performance of different basecalling tools, looking at accuracy at the level of bases within individual reads and at majority-r...

Alternative Titles

Full title

Performance of neural network basecalling tools for Oxford Nanopore sequencing

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7f8648c885cd4e4289a3cdabb1f9fbd3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7f8648c885cd4e4289a3cdabb1f9fbd3

Other Identifiers

ISSN

1474-760X,1474-7596

E-ISSN

1474-760X

DOI

10.1186/s13059-019-1727-y

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