With these webinars, we expect that participants will be able to share knowledge and expertise, demonstrate how data science can be incorporated in onging reserach, and build interactions across the Nordic borders and beyond.
Online seminars consist of a 45 min topic presentation and 15 min for Q&A
Online clinics consist of two parts: 1) 30 min instructional topic overview presentation including a state-of-the-art review, new developments in the pipeline and 5 min Q&A and 2) 30 min clinic-like Q&A for those that wish to see how the methods are applied on sample data. Follow-up 1:1 meetings with the presenter/experts are welcomed and encouraged.
Please note that the sessions will not be recorded.
Get the Zoom link to join by completing our short registration form.
Date & Time | Format & Topic | Speaker, affiliation | Host, affiliation |
5 October 2022 15.00 CEST/16.00 EEST |
Seminar: Introduction to modeling large, complex datasets with deep learning | Leo Parts, Wellcome Trust Sanger Institute | Johan Henriksson, MIMS |
16 November 2022 15.00 CET/16.00 EET |
Clinic: Image analysis, e.g., AI, machine learning |
Antti Suutala, FIMM Lassi Paavolainen, FIMM |
Gretchen Repasky, Nordic EMBL Partnership & FIMM |
7 December 2022 15.00 CET/16.00 EET |
Seminar: Advanced protein structure analysis, e.g. AI | Alex Bateman, EMBL-EBI | Anthony Mathlier, NCMM |
18 January 2023 15.00 CET/16.00 EET |
Clinic: Haplotype-resolved chromatin landscape in cancer with demo on how to integrate whole exome sequencing and ChIP-seq data | Sebastian Waszak, NCMM | Esa Pitkänen, FIMM |
15 February 2023 15.00 CET/16.00 EET |
Clinic: Data integration for single cell ATAC-seq and RNA-seq | Johan Henriksson, MIMS | TBD |
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Anthony Mathelier (NCMM)
Duda Kvitsiani (DANDRITE)
Esa Pitkånen (FIMM)
Hanna Ollila (FIMM)
Johan Henriksson (MIMS)
Marieke Kuijjer (NCMM)