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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
PacBio, long reads, Nanopore, genomics, workshop, Chromium 10X, assembly, bioinformatics
PacBio, long reads, Nanopore, genomics, workshop, Chromium 10X, assembly, bioinformatics
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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