<div dir="ltr">
<div></div><div>COURSE ANNOUNCEMENT</div><div>Please circulate this email to those who might be interested.</div><div><br></div><div>ELIXIR-IT is pleased to announce the new edition of the "MedILS School in Bioinformatics"</div><div>DETAILS AT: <a href="https://bioinfo.medils.hr/" target="_blank">https://bioinfo.medils.hr/</a></div><div><br></div><div>IMPORTANT DATES:</div><div>The School is divided into two parts. You can join only one part or for both parts, depending on the research interests.</div><div>Part I: 21 - 25 August 2023</div><div>Part II: 16 - 20 October 2023</div><div><br></div><div>Part I:</div><div>Early registration: 3 July 2023</div><div>Late registration: 7 August 2023</div><div><br></div><div>Part II:</div><div>Early registration: 4 September 2023</div><div>Late registration: 2 October 2023</div><div><br></div><div>VENUE: </div><div>The
Mediterranean Institute for Life Sciences – MedILS is a life science
institute in Split, Croatia, envisioned as an international center of
excellence for molecular biology. Read more here: <a href="https://www.medils.org/">https://www.medils.org/</a></div><div><br></div><div>FEE:</div><div>Part I:</div><div>Registration fee with accommodation at MedILS: EUR 800</div><div>Registration fee without accommodation at MedILS: EUR 500</div><div><br></div><div>Part II:</div><div>Registration fee with accommodation at MedILS: EUR 830</div><div>Registration fee without accommodation at MedILS: EUR 530</div><div><br></div><div>COURSE DESCRIPTION</div><div>We
invite participants enthusiastic about science, new technologies,
biology, big data analysis, and those curious to learn new things. The
School will introduce participants to the latest advances in omics
technologies and most commonly used bioinformatics tools and methods to
analyse big data. Hands-on sessions will give participants the
opportunity to reinforce the analysis concepts they learned in smaller
groups based on their field of interest. The participants will also have
a chance to get advice related to their own research questions. This
School is intended for individuals working in life/biomedical sciences
with little or none experience in bioinformatics.</div><div><br></div><div>Topics:</div><div>Protein structure analysis, drug design and virtual screening</div><div>MS proteomics and metabolomics</div><div>Next-generation sequencing and data repositories</div><div>GWAS</div><div>Pharmacogenomics</div><div>Transcriptomics</div><div>Epigenomics</div><div>Microbiome</div><div>Introduction to data analysis and data visualization (R, Galaxy, PyMOL, PyMod)</div><div><br></div><div>This
year, the School will be divided in two parts - first one will be more
focused on protein analysis, while the second one will be more oriented
towards analysis of nucleic acids. Both parts will have an integrated
section about the basic and advanced methods for data analysis and data
visualization. There will be an option to apply for only one part or for
both parts, depending on the research interests.</div><div><br></div><div>TARGET AUDIENCE</div><div>The
School will welcome 20 – 30 participants (young researchers – master
students, PhD students, postdocs; but experienced researchers are also
welcome!). No prior computational experience is required.</div><div><br></div><div>COURSE REGISTRATION</div><div>Registration form is available at this <a href="https://docs.google.com/forms/d/e/1FAIpQLSejAJ6AhoINoyBJdGXSbTa7udUlOVH70Fzr4Z3CWaggD6XHcw/viewform" target="_blank">link</a></div>
<br clear="all"><br><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><b>ELIXIR-IIB Training </b><div><a href="https://elixir-iib-training.github.io/website/" target="_blank">https://elixir-iib-training.github.io/website/</a><br></div><div><br></div><div><img src="https://ci3.googleusercontent.com/mail-sig/AIorK4w5ncNZBTMSbpTrPUvjjRQcMsjTpYIdbTMx7hQBgBGA9hp3vhhs_Nc4ilxpH2OZwAgtV6kNnicRYxwWP45Md0Ayc9o7kk-67lS5sE09kw" width="96" height="72"><br></div></div></div></div>