Computational genomics course for hands-on data analysis 2020
23 - 25 September 2020Computational genomics course for hands-on data analysis 2020 https://www.denbi.de/training/806-computational-genomics-course-for-hands-on-data-analysis-2020 https://tess.elixir-europe.org/events/computational-genomics-course-for-hands-on-data-analysis-2020 Educators: Altuna Alkalin, Verdan Franke, Bora Uyar (RBC/deNBI-epi Scientists from Berlin) Date: 23-25 September 2020 Location: Online Contents: The general aim of the course is to equip participants with practical and technical knowledge to analyze single cell RNA-seq data. With this aim in mind, we will go through unsupervised machine learning methods to analyze high-dimensional data sets, and move on to statistical methods developed to analyze bulk RNA-seq. Lastly, we will introduce analysis techniques used for single cell RNA-seq. There will be theoretical lectures followed by practical sessions where students directly apply what they have learned. The programming will be mainly done in R. Day 1: Intro to machine learning & data visualization for genomics Day 2: Bulk RNA-seq analysis Day 3: Single cell RNA-seq analysis Learning goals: The course will be beneficial for first year computational biology PhD students, and experimental biologists and medical scientists who want to begin data analysis or are seeking a better understanding of computational genomics and analysis of popular sequencing methods.r Prerequisites: Some statistics and R programming experience will be good to keep up with the course. Practicals will be done in R. Keywords: Computational genomics, RNA-seq, Machine learing, Tools: R/Bioconductor 2020-09-23 09:00:00 UTC 2020-09-25 17:00:00 UTC de.NBI Berlin, Berlin, Germany Berlin Berlin Germany    workshops_and_courses  
DNA Methylation Data Analysis Workshop
2 - 5 November 2020
Berlin, GermanyDNA Methylation Data Analysis Workshop https://www.ecseq.com/workshops/workshop_2020-06-NGS-DNA-Methylation-Data-Analysis https://tess.elixir-europe.org/events/dna-methylation-data-analysis-workshop Advance your epigenetics research with NGS methods. In a nutshell - Learn how bisulfite sequencing works - Understand how bisulfite-treated reads are mapped to a reference genome - Perform basic analyses (call methylated regions, perform basic downstream analyses) - Use shell scripting to create reusable data pipelines - Visualize results (ready-to-publish) The purpose of this workshop is to get a deeper understanding of the use of bisulfite-treated DNA in order to analyze the epigenetic layer of DNA methylation. Advantages and disadvantages of the so-called 'bisulfite sequencing' and its implications on data analyses will be covered. The participants will be trained to understand bisulfite-treated NGS data, to detect potential problems/errors and finally to implement their own pipelines. After this course they will be able to analyze DNA methylation and create ready-to-publish graphics. By the end of this workshop the participants will: - be familiar with the sequencing method of Illumina - understand how bisulfite sequencing works - be aware of the mapping problem of bisulfite-treated data - understand how bisulfite-treated reads are mapped to a reference genome - be familiar with common data formats and standards - know relevant tools for data processing - automate tasks with shell scripting to create reusable data pipelines - perform basic analyses (call methylated regions, perform basic downstream analyses) - plot and visualize results (ready-to-publish) - be able to reuse all analyses 2020-11-02 09:00:00 UTC 2020-11-05 17:00:00 UTC ecSeq Bioinformatics GmbH PC-COLLEGE Berlin, 78, Stresemannstraße, Berlin, Germany PC-COLLEGE Berlin, 78, Stresemannstraße Berlin Germany 10963 Sequencing Sequence analysis Bioinformatics  ecSeq Bioinformatics GmbH Sternwartenstr. 29 D-04103 Leipzig Germany Email: events@ecSeq.com  BiologistsBiologists, Genomicists, Computer ScientistsMolecular BiologistsPhD studentspost-docsPathologistsbioinformaticians 25 workshops_and_courses first_come_first_served EpigeneticsDNA MethylationBisulfite-Seq
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