Back to search

Article

Real-Time, Direct Classification of Nanopore Signals with SquiggleNet

2021-01-17

Abstract excerpt

Oxford Nanopore sequencers provide results in real time as DNA passes through a nanopore and can eject a molecule after it has been partly sequenced. However, the computational challenge of deciding whether to keep or reject a molecule in real time has limited the application of this capability. We present SquiggleNet, the first deep learning model that can classify nanopore reads directly from their electrical si...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e553eb61-c5ac-5326-a5c4-1585fd4231ef
DOI
10.1101/2021.01.15.426907
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Real-Time, Direct Classification of Nanopore Signals with SquiggleNetDOI 10.1101/2021.01.15.426907
Select a neighboring publication to make it the new centre.