Long read club

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Really very long reads indeed

Long Read Club

Long read club is part of a recently funded Wellcome Trust Technology Development Award. Our overall goal is to help the genomics community achieve finished quality, complete reference quality genomes routinely and at scale.

Posts available

We are currently advertising for two posts!

Research Fellow (based at University of Birmingham) Closing Date: Friday, 31st May 2019 https://www.jobs.ac.uk/job/BRQ798/research-fellow-sequencing-molecular-biology

Research Associate/Fellow (based at University of Nottingham) Closing Date: Monday, 27th May 2019 http://jobs.nottingham.ac.uk/MED056719X1

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YouTube Channel

Our YouTube channel is at:

https://www.youtube.com/c/longreadclub

Episode 1: What is Long Read Club?

Episode 2: DNA extraction with Jill Herschleb, 10X Genomics

Episode 3: Whole human genome assemblies with Adam Phillippy, NHGRI

Episode 4: The Flye assembler with Mikhail Kolmogorov and Jeffrey Yuan, UCSD

Protocols.io

Head over to our Protocols.io group at:

https://www.protocols.io/groups/longreadclub

Datasets

This page contains links to examplar or notable long-read datasets:

Nanopore NA12878 Consortium

The nanopore human WGS consortium are curating a regularly-updated NA12878 human cell line data release from nanopore data. More information on their Github:

https://github.com/nanopore-wgs-consortium/NA12878

Telomere-to-telomere Consortium

Telomere to telomere consortium logo

At AGBT 2019, the T2T consortium released an extensive dataset for the haploid human CHM13 cell line including 50X ultra-long nanopore coverage, 10X Genomics data, BioNano data. This is complimented by existing PacBio data. The goal of the consortium is to complete a telomere-to-telomere contiguous finished assembly of a haploid human genome.

Find out more at their website: https://sites.google.com/ucsc.edu/t2tworkinggroup/home Data release available via GitHub: https://github.com/nanopore-wgs-consortium/CHM13

E. coli ultra-long read dataset

As part of protocol development, we have generated extensive ultra-long read data for E. coli K-12 MG1655 which is released here in case it is useful for development (e.g. of assembly software).