SquiggleNet: real-time, direct classification of nanopore signals
SquiggleNet: real-time, direct classification of nanopore signals
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
We present SquiggleNet, the first deep-learning model that can classify nanopore reads directly from their electrical signals. SquiggleNet operates faster than DNA passes through the pore, allowing real-time classification and read ejection. Using 1 s of sequencing data, the classifier achieves significantly higher accuracy than base calling follow...
Alternative Titles
Full title
SquiggleNet: real-time, direct classification of nanopore signals
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_400a7cdd3e9a4dc1a17cb22271f19b24
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_400a7cdd3e9a4dc1a17cb22271f19b24
Other Identifiers
ISSN
1474-760X,1474-7596
E-ISSN
1474-760X
DOI
10.1186/s13059-021-02511-y
