Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
David Eccles 2020. Plasmid Sequence Analysis from Long Reads. protocols.io dx.doi.org/10.17504/protocols.io.bqu3mwynCopy Citation Copied
URL: https://dx.doi.org/10.17504/protocols.io.bqu3mwyn
Authors: David Eccles
Summary: This protocol demonstrates how to assemble reads from plasmid DNA, and generate a circularised and non-repetitive consensus sequenceAt the moment, this protocol uses Canu to de-novo assemble high-quality single-cut reads.Input(s): demultiplexed fastq files (see protocol Demultiplexing Nanopore reads with LAST). I've noticed that the default demultiplexing carried out by Guppy (at least up to v4.2.2, as used in the first version of this protocol) has issues with chimeric reads, which can affect assembly.Output(s):Consensus sequence per barcode as a fasta fileOutput(s):
Affiliations: Malaghan Institute of Medical Research (NZ)
Version: 4
Publication Date: 2020
Expand AllComing soon.
Check
for all resource mentions.
Coming soon.
Source: Protocols.io
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
