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<h1 style="text-align:center;display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:26px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal"> Course: Machine Learning</h1>
<h2 style="text-align:center;display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal">26-30 September, Amsterdam</h2>
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<h2 style="display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal;text-align:left">Course overview</h2>
In this one-week course, the foundations of machine learning will be laid out and commonly used methods for unsupervised (clustering, dimensionality reduction, visualization) and supervised (mainly classification) learning will be explained in detail. Methods will be illustrated using recent examples from the fields of systems biology and bioinformatics. Methods discussed in the morning lectures will be put into practice during the afternoon computer lab sessions. You can find more information <a href="https://dtls.us3.list-manage.com/track/click?u=3cef2d6f6da8f8059e2288298&id=6ee41fc9a0&e=6c7bbf5973" style="color:#c81e69;font-weight:normal;text-decoration:underline" target="_blank">here</a>.
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Target audience</h2>
<p style="margin:10px 0;padding:0;color:#202020;font-family:Helvetica;font-size:15px;line-height:150%;text-align:left">The course is aimed at PhD students with a background in bioinformatics, systems biology, computer science or a related field, and life sciences. Participants from the private sector are also welcome. A working knowledge of basic statistics and linear algebra is assumed. Preparation material on statistics and linear algebra will be distributed before the course, to be studied by students missing the required background.</p>
<div style="text-align:center"><strong>We still have some seats available, register now!</strong></div>
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<h1 style="text-align:center;display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:26px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal">Course: Single-cell Analysis</h1>
<h2 style="text-align:center;display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal">10-14 October 2022, Leiden</h2>
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<h2 style="display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal;text-align:left">Course overview</h2>
<p style="margin:10px 0;padding:0;color:#202020;font-family:Helvetica;font-size:15px;line-height:150%;text-align:left">The course features a mix of lectures and practicals, and you will have the opportunity to perform hands-on analysis of scRNA-seq data in R. Topics to be covered in the course include (but not limited to): an overview of different single cell platforms, experimental design, preprocessing of scRNA-seq data, normalization, dimensionality reduction, clustering, batch correction, differential expression, trajectory inference. The fifth day of the course will be a mini-symposium featuring guest lectures from scientists using various single-cell techniques in their research. You can find more information <a href="https://dtls.us3.list-manage.com/track/click?u=3cef2d6f6da8f8059e2288298&id=eb1ff43a37&e=6c7bbf5973" style="color:#c81e69;font-weight:normal;text-decoration:underline" target="_blank">here</a>.</p>
<h2 style="display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal;text-align:left"><br>
Target audience</h2>
<p style="margin:10px 0;padding:0;color:#202020;font-family:Helvetica;font-size:15px;line-height:150%;text-align:left">This course is aimed at both wet-lab researchers interested in learning how to analyze their own single-cell data sets, as well as bioinformaticians who are new to single-cell sequencing analysis. Basic knowledge of the programming language R is a prerequisite for participation in the course.</p>
<h2 style="display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal;text-align:left"><br>
Registration</h2>
<p style="margin:10px 0;padding:0;color:#202020;font-family:Helvetica;font-size:15px;line-height:150%;text-align:left">A first selection will be made among the registrations by September 1st. We will inform you a.s.a.p. if you are selected for the course. If you are selected for the course, you will receive a link for final registration and payment for the course.</p>
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<h1 style="text-align:center;display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:26px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal">Course: Algorithms for genomics</h1>
<h2 style="text-align:center;display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal">10-14 October 2022, Delft</h2>
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<p style="margin:10px 0;padding:0;color:#202020;font-family:Helvetica;font-size:15px;line-height:150%;text-align:left">Comparative genomics aims to compare large sets of genomes in order to understand and explain differences in traits of an organism. Contemporary methods are powered by fundamental algorithms and data structures, which are efficient and scale to large data sets. A thorough understanding of these algorithms and data structures is necessary for advanced users and developers in this area. In addition, understanding how comparative genomics is developing is important to shape your own research. </p>
<p style="margin:10px 0;padding:0;color:#202020;font-family:Helvetica;font-size:15px;line-height:150%;text-align:left">In this course, we will cover genome analysis, variant analysis, and pangenomics. Core concepts, applications, and future trends will be discussed, with a focus on the algorithms and data structures underlying state-of-the-art methods. The course offers an engaging mix of lectures, paper discussions, hands-on tutorials, and a do-it-yourself project. You can find more information <a href="https://dtls.us3.list-manage.com/track/click?u=3cef2d6f6da8f8059e2288298&id=5e675d7644&e=6c7bbf5973" style="color:#c81e69;font-weight:normal;text-decoration:underline" target="_blank">here</a>.</p>
<h2 style="display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal;text-align:left"><br>
Target audience</h2>
<p style="margin:10px 0;padding:0;color:#202020;font-family:Helvetica;font-size:15px;line-height:150%;text-align:left">The course is aimed at PhD students with a background in bioinformatics, computer science or a related field. Participants are expected to have experience in command-line usage (Unix shell) and programming (Python), and have basic knowledge of genomics.</p>
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<h2 id="m_-2541403828876478716upcoming-courses" style="display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal;text-align:left">More upcoming BioSB courses</h2>
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<li>Integrated modeling and optimization (Fundamental), December 2022</li>
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<h2 style="display:block;margin:0;padding:0;color:#23418a;font-family:Helvetica;font-size:22px;font-style:normal;font-weight:bold;line-height:125%;letter-spacing:normal;text-align:left">BioSB course portfolio</h2>
The courses are part of the BioSB Education programme of the Netherlands Bioinformatics and Systems Biology research school, which offers training and education in bioinformatics and systems biology. Find our course portfolio <a href="https://dtls.us3.list-manage.com/track/click?u=3cef2d6f6da8f8059e2288298&id=54138a1cea&e=6c7bbf5973" style="color:#c81e69;font-weight:normal;text-decoration:underline" target="_blank">here</a>.<br>
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</div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="margin-bottom:12pt;line-height:normal;background-image:initial;background-position:initial;background-repeat:initial"><a name="SignatureSanitizer__MailAutoSig"><span lang="EN-US" style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">Dr. Celia W.G. van Gelder<br>
</span></a><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black">Training Programme Manager DTL/ELIXIR-NL/Health-RI</span><span style="font-size:12pt;font-family:Arial,sans-serif"></span></p><p class="MsoNormal" style="margin-bottom:12pt">
</p><p class="MsoNormal"><span style="font-size:10.5pt;line-height:107%;font-family:"Arial",sans-serif;color:black">tel. +31613375327<br>
</span><span lang="NL" style="font-size:10.5pt;line-height:107%;font-family:"Arial",sans-serif;color:black">e-mail: <a href="mailto:celia.van.gelder@dtls.nl" target="_blank">celia.van.gelder@dtls.nl</a></span><span style="font-size:12.0pt;line-height:107%;font-family:"Arial",sans-serif;color:black"><br>
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<font color="#1f497d"><span></span></font></span></p><p class="MsoNormal" style="margin-bottom:12pt"><span lang="EN-US" style="font-size:10.5pt;font-family:Arial,sans-serif;color:rgb(31,73,125)">Office: DTL
| Jaarbeurs Innovation Mile (JIM) | 6th floor
Beatrixgebouw | Jaarbeursplein 6 | 3521 AL Utrecht<br><span style="color:rgb(153,153,153);font-family:Arial,Helvetica,sans-serif;font-size:small"><br>While I may be
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