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Long-Read Data Analysis Workshop. Raw And Pre-Processed Data

Authors: Deshpande, Nandan; Vázquez-Campos, Xabier; Pérez-Bercoff, Åsa; Kahlke, Tim; Wilkins, Marc; Edwards, Richard J.; Russell, Tonia;

Long-Read Data Analysis Workshop. Raw And Pre-Processed Data

Abstract

Datasets generated for the tutorials of the Long-read Data Analysis Workshop held at UNSW (Sydney, Australia) on 27-28 September 2018. This Long-read Data Analysis Workshop was a two-day workshop held on 27-28 September 2018 at the University of New South Wales. The workshop aimed to introduce attendees to genome assembly using long-read data. PacBio, Oxford Nanopore and Chromium 10x approaches were covered within the workshop. Participants were given hands-on experience of using data QC and assembly tools for both PacBio and Oxford Nanopore data. The contents of this repository correspond to the raw and pre-processed data required to follow the tutorials. Day 1: Tutorial: Day_1_practicals_LRDW.html or Day_1_practicals_LRDW.pdf (printer-friendly) Klebsiella_pneumoniae_25727.tar.gz (main dataset) Staphylococcus_aureus_25745.tar.gz Staphylococcus_aureus_25747.tar.gz Day 2: Tutorial: Day_2_practicals_LRDW.pdf nanopore_practicals.tar.gz To extract the contents on your command line simply run this on your command line: tar xvzf filename.tar.gz Additional contents of the workshop are located in their respective repositories: Combined presentations: https://f1000research.com/slides/7-1595 Individual presentations available at: https://bitbucket.org/xvazquezc/longread2018

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Keywords

PacBio, long reads, Nanopore, genomics, workshop, Chromium 10X, assembly, bioinformatics

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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