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<p><span class="external-link"><font size="+1">Coming to <a moz-do-not-send="true" href="http://genomescience.co.uk/">
Genome Science 2019</a> in Edinburgh this September? Why not complete your conference week with an introduction to the world of Network Analysis with
<a moz-do-not-send="true" href="https://kajeka.com/graphia/">Graphia</a>. See below for this and some other great courses coming up in the next few months, including another of our ever-popular 'Bioinformatics for Genomics'!
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<p><b><a href="https://genomics.ed.ac.uk/services/introduction-rna-seq-data-analysis">Introduction to RNA-seq Data Analysis 5-7 August 2019
</a></b><b><a href="https://genomics.ed.ac.uk/services/introduction-rna-seq-data-analysis"><span class="external-link"><b><font color="#ff0000">*NEW THREE-DAY FORMAT*</font></b></span></a></b><b><a href="https://genomics.ed.ac.uk/services/introduction-python-biologists-0" class="external-link" rel="nofollow"><br>
</a></b></p>
<p>RNA sequencing (RNA-seq) is the method of choice for transcriptome profiling. Nevertheless, it is a non-trivial task to transform the vast amount of data obtained with high-throughput sequencers into useful information. Thus, RNA-seq data analysis is still
a major bottleneck for most researchers in this field. The ability of correctly interpreting RNA-seq results, as well as knowledge on the intrinsic properties of these data, are essential to avoid incorrect experimental designs and the application of inappropriate
analysis methodologies. <br>
</p>
<p>The aim of this workshop is to familiarise researchers with RNA-seq data and to initiate them in the analysis by providing lectures and practicals on analysis methodologies. In the practicals Illumina-generated sequencing data and various widely used software
programs will be used.</p>
<p><b>Tutors:</b> <b>Urmi Trivedi</b>, Bioinformatician, Edinburgh Genomics; <b>Frances Turner</b>, Bioinformatician, Edinburgh Genomics;
<b>Nathan Medd</b>, Training and Outreach Manager, Edinburgh Genomics (demonstrator)<b><br>
</b></p>
<p><b>Registration fee:</b> £500 (including lunches and refreshments)</p>
<p><a href="https://www.surveymonkey.co.uk/r/YDPZPSB">Register here</a></p>
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<p><span class="external-link"><b><a href="https://genomics.ed.ac.uk/services/metagenomics-metabarcoding">Metagenomics and Metabarcoding - 28-30 August 2019</a>
<font color="#ff0000">*BRAND NEW*</font></b></span><a href="https://genomics.ed.ac.uk/services/introduction-python-biologists-0" class="external-link" rel="nofollow"><br>
</a></p>
<p>This course focuses on the computational methods used to analyse the wealth of data produced by shotgun metagenomics and metabarcoding (Amplicon targeted metagenomics) studies.<br>
<br>
This course will provide you insights in to DNA metabarcoding analyses, from preprocessing and quality control of the raw data to the construction of OTU/ASV tables, taxon assignment, diversity analysis and differential abundance analysis using QIIME2. Further,
you will also learn about methods to generate the reference-based profile to generate microbial community features like taxonomic abundances or functional profile and how to identify the ones characterizing differences between two biological conditions.<br>
<br>
You will then be introduced to methods used for assembly from metagenomics samples. Attendees will use tools to assemble metagenome assembled genomes (MAGs) from short read and long read data. We will discuss the different approaches and tools available for
these assemblies and the benefits and limitations of each options. <br>
</p>
<p><b>Tutors:</b> <b>Urmi Trivedi</b>, Bioinformatician, Edinburgh Genomics; <b>
Amanda Warr</b>, Research Geneticist, Roslin Institute; <b>Rob Stewart</b>, Bioinformatician, Roslin Institute;
<b>Albert Phillimore</b>, Institute of Evolutionary Biology, University of Edinburgh (guest lecturer);
<b>Nathan Medd</b>, Training and Outreach Manager, Edinburgh Genomics (demonstrator)<b><br>
</b></p>
<p><b>Registration fee:</b> £500 (including lunches and refreshments)</p>
<p><b>Where:</b> Peter Wilson Building, The Kings Buildings, Edinburgh<br>
</p>
<p><a href="https://www.surveymonkey.co.uk/r/8MKKK96">Register here</a></p>
<p><br>
</p>
<p><a href="https://genomics.ed.ac.uk/services/network-analysis-high-dimensional-biological-data-15th-july-2019" class="external-link" rel="nofollow" moz-do-not-send="true"><b>Network Analysis of High Dimensional Biological Data - 6th September 2019 </b></a><span class="external-link"><b>
</b></span><span class="external-link"><font color="#ff0000"><b>*Following the Edinburgh Genome Science Conference (<a moz-do-not-send="true" href="http://genomescience.co.uk/">http://genomescience.co.uk/</a>)*</b></font></span><a href="https://genomics.ed.ac.uk/services/introduction-python-biologists-0" class="external-link" rel="nofollow"><br>
</a><a href="https://genomics.ed.ac.uk/services/introduction-python-biologists-0" class="external-link" rel="nofollow"></a></p>
<p>This one day practical course is designed to introduce participants to the joys of networks, focusing on their application to biological research and in particular, their use in the analysis of complex data.</p>
<p>The course will start by introducing the principles of networks and their use as a generic medium to understand the relationships between entities. It will then introduce participants to a new analysis platform, Graphia, going through the basics of its functionality
for network visualisation and navigation, and demonstrating the tool‘s use in the exploration of large networks of protein interaction data and phylogenetic trees.</p>
<p><b>Tutor:</b> Prof <b>Tom Freeman</b>, Roslin Institute & Kajeka <b><br>
</b></p>
<p><b>Registration fee:</b> £45 (including lunch and refreshments)</p>
<p><b>Where:</b> James Clerk Maxwell Building, The Kings Buildings, Edinburgh. <br>
</p>
<p><a href="https://www.surveymonkey.co.uk/r/H7PNDYF" moz-do-not-send="true">Register here</a></p>
<p><br>
</p>
<p><a href="https://genomics.ed.ac.uk/services/bioinformatics-genomics" class="external-link" rel="nofollow" moz-do-not-send="true"><b>Bioinformatics for Genomics -
</b><b>9-13 September 2019 </b></a><span class="external-link"></span><span class="external-link"></span><a href="https://genomics.ed.ac.uk/services/introduction-python-biologists-0" class="external-link" rel="nofollow"><br>
</a><a href="https://genomics.ed.ac.uk/services/introduction-python-biologists-0" class="external-link" rel="nofollow"></a></p>
<p>T<span style="font-size:12pt">his is a week-long workshop that combines our popular ‘<strong>Linux for Genomics</strong>’, ‘<strong>R for Genomics</strong>’, and ‘<strong>Introduction to RNA-seq Data Analysis</strong>’, taught by Edinburgh Genomics’ Bioinformaticians.
By the end of the five days, you will be: comfortable on the Linux command line; able to view, filter and manipulate large text files; able to write pipelines to perform certain bioinformatics tasks; familiar with and able to use the basics of R; confident
using several data QC and processing tools; able to generate gene counts and differential expression statistics; and prepared to put it all together with visualization, interpretation, and gene set analysis.</span></p>
<p><b>Tutors:</b><b> Urmi Trivedi</b>, Bioinformatician, Edinburgh Genomics; <b>Frances Turner</b>, Bioinformatician, Edinburgh Genomics;
<b>Tim Booth</b>, Analyst - Developer, Edinburgh Genomics; <b>Nathan Medd</b>, Training and Outreach Manager, Edinburgh Genomics<b><br>
</b><b></b></p>
<p><b>Registration fee:</b> £750 (including lunches and refreshments)</p>
<p><b>Where:</b> Peter Wilson Building, The Kings Buildings, Edinburgh. <br>
</p>
<p><a href="https://www.surveymonkey.co.uk/r/8P6NW8H" moz-do-not-send="true">Register here</a></p>
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<div class="moz-cite-prefix">For more courses coming soon please check out our training web-page:<b><a href="https://genomics.ed.ac.uk/services/training"> https://genomics.ed.ac.uk/services/training</a></b></div>
<div class="moz-cite-prefix"><br>
</div>
<div class="moz-cite-prefix">Can't see the course you need to progress your skills? Tell us what your training needs are by completing this
<a moz-do-not-send="true" href="https://www.surveymonkey.co.uk/r/7M6QB2D">short survey</a>.<br>
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<div class="moz-cite-prefix">Kind Regards <br>
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<div class="moz-cite-prefix">Nathan Medd</div>
<div class="moz-cite-prefix"><font size="-1"><i><br>
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<div class="moz-cite-prefix"><font size="-1"><i>Training and Outreach Manager - Edinburgh Genomics
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