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_includes/intro/intro.html

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<p>
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To-do: General background about the course.
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High-throughput sequencing technologies have significantly improved the generation of
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large data sets of omics information (genomes, transcriptomes, proteomics and microbiomes).
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Administration and analysis of big data in the omics-era to understand
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complex biological systems present a new challenge for plant pathologists.
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Analysis of big and complex data sets requires use of computational tools
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that interact with databases and computer servers.
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The command line interface allows users to interact with computers both locally
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and in server to conduct computationally intensive analyses.
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In this workshop, we will explore different usages of command line interface for bioinformatic analyses.
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We will introduce the cluster computing system, Linux shell, and shell scripting.
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We will use unix commands to parse sequence and text files followed by
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application of local BLAST and data parsing. Different genome data analyses using
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command line interface will be discussed.
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</p>
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_includes/intro/prereq.html

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<p id="requirements">
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<strong>Requirements:</strong>
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Participants must bring a laptop with Windows, MacOS or Linux operating system
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(not a tablet, Chromebook, etc.) that they have administrative privileges on.
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They should have a few specific software packages installed
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(listed <a href="setup.html">here</a>).
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The organizers will share extensive pre- and post- meeting support materials
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including the codes, coding references, datasets, reading materials,
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and respective examples to the participants via a github webpage
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that can be accessed at any time after the conference also.
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</p>

_includes/intro/who.html

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<p id="who">
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<strong>Who:</strong>
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The course is aimed at graduate students and other researchers.
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Plant pathologists interested to apply computational tools for
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analyzing high-throughput sequencing data using cluster computers.
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<strong>
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You don't need to have any previous knowledge of the tools
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that will be presented at the workshop.
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Participants are expected to have some idea about genomic data,
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sequencing platforms, and general terminologies commonly used in
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bioinformatics such as assembly, annotation, sequencing platforms,
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fastq, fasta, etc. No technical proficiency is expected.
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</strong>
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</p>

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