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<p class="MsoNormal">Dear all,<br>
<br>
I would like to share with you a single-cell training we are organizing in Roscoff (France) in early 2022 with different partners (including institut Pasteur / Curie)<br>
This training is dedicated to bioinformaticians/scientists with a first experience in single data analysis (and familiar with unix/R).<br>
This year, we will try to focus on multi-omics and spatial transcriptomics analysis.<br>
Feel free to share this training in your different network !<br>
All the best<br>
Nicolas<br>
<br>
<br>
<br>
<o:p></o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">Training : Single-Cell : Transcriptomics, Spatial and Multi-Omics (sincellTE)</span><o:p></o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">Date : 9 January 2022 – 14 January 2022</span><o:p></o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">Place : Roscoff, France</span><o:p></o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">Deadline pre-registration: 15th September 2021</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">This one-week class focuses on the large-scale study of heterogeneity across individual cells from the genomic, transcriptomic and epigenomic points of view. New technological developments enable
the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce comes with novel methodological challenges for the analysis. In this regard, specific bioinformatics
and statistical methods have been developed in order to extract robust information.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">This course is directed towards engineers and researchers who regularly need to undertake single-cell data analysis as well as PhD Student and Post Doc in computational biology or bioinformatics that
are interested in the development of methods and pipelines for highly dimensional single-cell data analysis.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">A wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate
single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal" style="margin-top:6.0pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif">Requirements : Participants must have prior experience on NGS data analysis with everyday use of R and good knowledge of Unix command line. Before the
training, participants will be asked to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets with provided pedagogic material.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal" style="margin-top:6.0pt"><span style="font-size:9.0pt;font-family:"Arial",sans-serif">It is not necessary to have personal single-cell data to analyse.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif">All information and pre-registration:</span><o:p></o:p></p>
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<u><span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:#1155CC"><a href="https://www.france-bioinformatique.fr/formation/single-cell-2022/"><span style="text-decoration:none">https://www.france-bioinformatique.fr/formation/single-cell-2022/</span></a>
</span></u><o:p></o:p></p>
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<o:p> </o:p></p>
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<span style="font-size:10.0pt">-- <br>
<br>
Nicolas Servant, PhD<br>
co-Director of the Bioinformatics core facility<br>
Bioinformatics & Biostatistics Analysis Team<br>
<br>
Institut Curie<br>
INSERM U900 - Institut Curie - Mines ParisTech<br>
26, rue d'Ulm - 75248 Paris Cedex 05 - FRANCE<br>
<a href="mailto:Nicolas.Servant@curie.fr">Nicolas.Servant@curie.fr</a><br>
+331 56 24 69 85<br>
<br>
</span><br>
<br>
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