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<p><font face="Helvetica, Arial, sans-serif">Dear All</font></p>
<p><font face="Helvetica, Arial, sans-serif">We are taking booking on a selection of online bioinformatics courses for the coming months, see below for details. Edinburgh University students/staff get to access these courses at the lowest pricing tier to make
gaining new computational skills more accessible than ever!<span class="external-link"></span><span class="external-link"><b> </b></span></font><font face="Helvetica, Arial, sans-serif"><font size="+1"><span style="color: rgb(0, 0, 0); font-size: 14px; font-style:
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<p><b><font size="+1"><a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/introduction-metagenomic-data-analysis"><font face="Helvetica, Arial, sans-serif">Introduction to Metagenomic Data Analysis, 17-19 March 2021, 10am - 3pm</font></a></font></b></p>
<p><font size="-1" face="Helvetica, Arial, sans-serif">The ability to identify organisms from traces of genetic material in environmental samples has reshaped the way we see life on earth. Especially for microorganisms, where traditional identification is hard
or near impossible, metagenomic techniques have granted us unprecedented insight into the microbiome of animals and the environment more broadly.<br>
<br>
In this course you will 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>
<b><br>
</b><b>Tutors:</b> </font><font size="-1" face="Helvetica,
Arial, sans-serif"><font size="-1" face="Helvetica, Arial,
sans-serif">Urmi Trivedi (Bioinformatician, Edinburgh Genomics) Nathan Medd (Training Manager, Edinburgh Genomics)</font></font></p>
<p><font size="-1" face="Helvetica, Arial, sans-serif"><b>Registration fee: </b>£250/£263/£325 (UoE/Other Uni/Industry)
<br>
</font></p>
<p><a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/variant-analysis"><font size="-1" face="Helvetica, Arial, sans-serif"><br>
</font></a></p>
<p><a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/variant-analysis"><b><font size="+1"><font face="Helvetica, Arial, sans-serif">Variant Analysis, 23-26 March, 9am - 3pm</font></font></b></a><font size="-1"><font face="Helvetica, Arial, sans-serif"><br>
</font></font></p>
<p><font size="-1"><font face="Helvetica, Arial, sans-serif">This course aims to provide an introduction to the principles of short variant discovery (both germline and somatic) from short read data. We will look at a complete workflow, from data QC to functional
interpretation of variant calls. The practical sessions will focus on running the GATK pipeline from the Broad institute (<a moz-do-not-send="true" href="https://gatk.broadinstitute.org/hc/en-us">https://gatk.broadinstitute.org/hc/en-us</a>).</font></font><font size="-1" face="Helvetica, Arial, sans-serif"><br>
<b><br>
</b><b>Tutors:</b> </font><font size="-1" face="Helvetica,
Arial, sans-serif">Frances Turner
</font><font size="-1" face="Helvetica, Arial, sans-serif"><font size="-1" face="Helvetica, Arial, sans-serif">(Bioinformatician, Edinburgh Genomics)</font>, Urmi Trivedi (Bioinformatician, Edinburgh Genomics)
</font></p>
<p><font size="-1" face="Helvetica, Arial, sans-serif"><b>Registration fee: </b>£250/£263/£325 (UoE/Other Uni/Industry)
<br>
</font></p>
<p><font size="+1" face="Helvetica, Arial, sans-serif"><br>
</font></p>
<p><font size="+1"><a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/rna-seq-data-analysis"><font face="Helvetica, Arial, sans-serif"><b>Introduction to RNA-seq Data Analysis, 26-29 April 2021, 9.30am - 3.30pm
</b></font></a></font><font size="-1" face="Helvetica, Arial, sans-serif"><br>
</font></p>
<p><font size="-1" face="Helvetica, Arial, sans-serif">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>
<br>
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.</font><br>
</p>
<font size="-1" face="Helvetica, Arial, sans-serif"><b></b><b>Tutors:</b> Frances Turner
</font><font size="-1" face="Helvetica, Arial,
sans-serif"><font size="-1" face="Helvetica, Arial, sans-serif">(Bioinformatician, Edinburgh Genomics)</font>, Urmi Trivedi (Bioinformatician, Edinburgh Genomics) Nathan Medd (Training Manager, Edinburgh
Genomics)<br>
</font>
<p><font size="-1" face="Helvetica, Arial, sans-serif"><b>Registration fee: </b>£250/£263/£325 (UoE/Other Uni/Industry)</font><font face="Helvetica, Arial, sans-serif"><i><font size="-1"><br>
</font></i></font></p>
<p><font face="Helvetica, Arial, sans-serif"><font size="-1"><br>
</font></font></p>
<p><font face="Helvetica, Arial, sans-serif">For more courses coming soon please check out our training web-page:<a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/training"> https://genomics.ed.ac.uk/services/training</a><br>
<br>
Kind Regards<br>
<br>
Nathan Medd <i><br>
</i></font></p>
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<pre class="moz-signature" cols="72"><font size="-1" face="Helvetica, Arial, sans-serif">Training and Outreach Manager - Edinburgh Genomics
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