<https://training.scilifelab.se/events/epigenomics-data-analysis-from-bulk-to-single-cell-online>
<http://schema.org/description>
"National course open for PhD students, postdocs, researchers and other employees in all Swedish universities, in need of  Epigenomics data analysis skills. We also welcome applications from outside of Sweden and from the non-academic sector, for more info contact us!\r\n\r\n#### Important dates and information\r\nApplication opens: 2024-04-26\r\nApplication closes: 2024-08-28\r\nConfirmation to accepted students: 2024-08-30\r\n\r\n#### Course content\r\nThis workshop aims to introduce the best practice bioinformatics methods for processing, analyses, visualisation and integration of epigenomics and functional genomics data.\r\n\r\nTopics covered include:\r\n\r\n- Data processing and analyses for differential DNA methylation with Illumina EPIC arrays and Bisulfite-seq;\r\n- ChIP-seq: peak calling, peak independent / dependent quality metrics, differential binding analysis; DNA motif enrichment;\r\n- ATAC-seq: peak calling, peak independent / dependent quality metrics, differential accessibility analysis;\r\n- Quantitative ChIP-seq using spike-ins;\r\n- CUT&amp;Tag / CUT&amp;RUN: Novel methods to investigate protein-chromatin interactions;\r\n- Functional analysis, including finding nearest genes and custom features, GO terms and Reactome pathways enrichment;\r\n- Basic multi-omics exploration and integration;\r\n- Visualisations of epigenomics datasets;\r\n- Introduction to analysis of single cell functional genomics data (scATAC-seq);\r\n- Introduction to nf-core pipelines for processing and analysis of epi- and functional genomics data : Methylseq, ChIP-seq, ATAC-seq.\r\n\r\n#### Course Participants\r\nDue to limited space the course can accommodate a maximum of 25 participants. If we receive more applications, participants will be selected based on selection criteria, including (but not limited to) correct entry requirements, motivation to attend the course, as well as gender and geographical balance.\r\n\r\n#### Course fee\r\nThis online training event has no fee for academic participants. However, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2 000 SEK. For non-academic participants a course fee* of 12 000 SEK  will be invoiced.\r\n\r\n*Please note that NBIS cannot invoice individuals"
<https://training.scilifelab.se/events?include_expired=true&keywords=data+analysis&online=true&target_audience%5B%5D=Public+Health+scientists&target_audience%5B%5D=instructors&target_audience%5B%5D=postdocs&target_audience%5B%5D=researchers>