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<div class="moz-text-html" lang="x-western"><font face="Helvetica,
Arial, sans-serif">Dear All<br>
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We have another few courses up and running here at Edinburgh Genomics this spring: see below for details and how to sign up!<font size="+1"><b><br>
</b></font><br>
<font size="+1" color="#0b6cda"><b>I<a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/introduction-python-biologists-0">ntroduction to Python for Biologists, 5-7&10-12 May 2021, 9.30am - 4.30pm</a></b></font></font><font color="#0b6cda"></font><font face="Helvetica, Arial, sans-serif"><br>
<br>
<font size="-1">Python is a dynamic, readable language that is a popular platform for all types of bioinformatics work, from simple one-off scripts to large, complex software projects. This workshop is aimed at complete beginners and assumes no prior programming
experience. It gives an overview of the language with an emphasis on practical problem-solving, using examples and exercises drawn from various aspects of bioinformatics work. The workshop is structured so that the parts of the language most useful for bioinformatics
are introduced as early as possible, and that students can start writing plausibly-useful programs after the first few sessions. After completing the workshop, students should be in a position to (1) apply the skills they have learned to tackling problems
in their own research and (2) continue their Python education in a self-directed way.</font><font size="-1"><br>
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<font size="-1"><b></b><b>Tutors:</b> </font><font size="-1">Tim Booth </font><font size="-1"><font size="-1">(Bioinformatician/Programmer, Edinburgh Genomics)</font>, Nathan Medd (Training Manager, Edinburgh Genomics)
</font><br>
</font><font size="-1" face="Helvetica, Arial, sans-serif"><b>Registration fee: </b>
£450/£473/£585 (UoE/Other Uni/Industry) <br>
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<div class="moz-text-html" lang="x-western"><font size="+1" face="Helvetica, Arial, sans-serif"><a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/long-read-bioinformatics"><br>
</a></font></div>
<div class="moz-text-html" lang="x-western"><font face="Helvetica,
Arial, sans-serif"><a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/long-read-bioinformatics"><font size="+1"><b>Long-read Bioinformatics, 17 - 19 May 2021, 10am -
3pm</b></font></a><font size="-1"><br>
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Arial, sans-serif"><br>
<font size="-1">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>
</font><font face="Helvetica, Arial, sans-serif"><br>
</font><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">(Bioinformatician, Edinburgh Genomics)</font>, Urmi Trivedi (Bioinformatician, Edinburgh Genomics) Nathan Medd (Training Manager, Edinburgh Genomics)<br>
</font><font face="Helvetica, Arial, sans-serif"><br>
<font size="-1"><b>Registration fee: </b>£150/£158/£195 (UoE/Other Uni/Industry)</font><i><font size="-1"><br>
</font></i><br>
<br>
<a moz-do-not-send="true" href="https://genomics.ed.ac.uk/services/introduction-metagenomic-data-analysis"><b><font size="+1">Introduction to Metagenomic Data Analysis, 31 May - 2 June 2021, 10am - 3pm
</font></b></a><font size="+1"><a href="https://genomics.ed.ac.uk/services/introduction-metagenomic-data-analysis" moz-do-not-send="true">(Rescheduled from March</a></font><b><font size="+1"><a href="https://genomics.ed.ac.uk/services/introduction-metagenomic-data-analysis">)</a></font></b><br>
</font><font face="Helvetica, Arial, sans-serif"><br>
<font size="-1">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"><font size="-1">Urmi Trivedi (Bioinformatician, Edinburgh Genomics) Nathan Medd (Training Manager, Edinburgh Genomics)</font></font><br>
</font><font face="Helvetica, Arial, sans-serif"><br>
<font size="-1"><b>Registration fee: </b>£250/£263/£325 (UoE/Other Uni/Industry) <br>
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</font><font face="Helvetica, Arial, sans-serif"><br>
For more courses coming soon please check out our training web-page:<a href="https://genomics.ed.ac.uk/services/training"> https://genomics.ed.ac.uk/services/training</a><br>
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Kind Regards<br>
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Nathan Medd <i><br>
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Arial, sans-serif"><font size="-1">--
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<font face="Helvetica, Arial, sans-serif"><br>
<font size="-1">Training and Outreach Manager - Edinburgh Genomics</font></font></div>
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