6 events found
Bulk RNASeq analysis for differential expression
9 - 20 September 2019
Leuven, BelgiumBulk RNASeq analysis for differential expression https://training.vib.be/product/91 https://tess.elixir-europe.org/events/bulk-rnaseq-analysis-for-differential-expression During this training you will: execute a complete workflow at command line or in GenePattern to go from raw fastq files to count files execute a complete workflow in R to detect differential expression between two conditions initiate functional annotation and interpretation of the list of differentially expressed genes 2019-09-09 09:00:00 UTC 2019-09-20 00:00:00 UTC VIB Bioinformatics Core Park Inn by Radisson Leuven, Leuven, Belgium Park Inn by Radisson Leuven Leuven Belgium 3010      
Microscopy Image Analysis Course
19 - 20 September 2019
Heidelberg, GermanyMicroscopy Image Analysis Course https://www.denbi.de/training/73-microscopy-image-analysis-course https://tess.elixir-europe.org/events/microscopy-image-analysis-course Educators: Karl Rohr, Thomas Wollmann, Manuel Gunkel (HD-HuB), Qi Gao, Leonid Kostrykin Date: 19.-20.9.2019 Location: Heidelberg University IPMB (Institute of Pharmacy and Molecular Biotechnology) Im Neuenheimer Feld 364 Contents: The course gives an introduction into the field of microscopy image analysis for cell biology and the use of software tools for automated processing of image data. Basic methods for computer-based analysis of microscopy images are introduced such as image preprocessing, segmentation, feature extraction, classification, colocalization, and tracking. Concepts of software platforms with focus on ImageJ and their use for analyzing cell microscopy image data are also taught. Workflow systems for automating image analysis pipelines are also considered (e.g., KNIME, Galaxy). The course consists of lectures and practical sessions. Participants should bring their laptops for the practical sessions. The target group are researchers with a background in biology or medicine that need to analyze their data and have little or no experience in automated image analysis. Learning goals: - Introduction into cell microscopy image analysis - Application of software tools for automated analysis of image data Prerequisites: Basic knowledge in using software tools for image analysis is helpful but not mandatory Keywords: Computer-based image analysis, image preprocessing, segmentation, feature extraction, classification, colocalization, tracking Tools: Image J Course fee: Participants will be charged with a course fee of 40 Euros (to cover the lunch and infrastructure related cost). The invoice details will be shared via email. Registration: Please register directly on the HD-HuB website: https://www.hd-hub.de/course-dates/3-all/47-microscopy-image-analysis-course In the "Comments" section of the registration form, please provide some information about yourself and your motivation to attend the training (e.g. Position, Field of study/Background, Topic of work, Knowledge of image analysis methods/tools). Registration closes on August 11, 2019. The capacity is limited to 20 participants and applicants will be selected after registration closed. You will be notified of the outcome by e-mail on August 23, 2019. 2019-09-19 09:00:00 UTC 2019-09-20 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany      
Machine Learning in R
6 - 7 November 2019
Heidelberg, GermanyMachine Learning in R https://www.denbi.de/training/675-machine-learning-in-r https://tess.elixir-europe.org/events/machine-learning-in-r Date Nov 6 - Nov 7 2019 Location EMBL Heidelberg Tutors and helpers - Dr. Malvika Sharan - Prof Bernd Bischl - Martin Binder - Giuseppe Casalicchio Affiliation: Ludwig-Maximilians-University Munich Course Information This two-day course, on the implementation of Machine Learning in R, using mlr package will be delivered as practical sessions on programming and data analysis. The main goal of mlr is to provide a unified interface for machine learning tasks as classification, regression, cluster analysis and survival analysis in R. Sessions will be driven by many practical exercises and case studies. Before this workshop, participants are expected to review the official material introducing the principle of Machine Learning (see the prerequisite). Course Content This 2-day course will cover hands-on sessions using `mlr` and other relevant packages. Daily schedule - 09:30-12:30 3h morning, 90 min Theory + 90 min Practical - 12:30-13:30 1h Lunchbreak - 13:30-16:30 3h afternoon, 90 min Theory + 90 min Practical - 16:30-17:00 Time for general questions Day 1 Introduction to the concepts and Practical with mlr - Performance Evaluation and Resampling (Metrics, CV, ROC) - Introduction to Boosting Day 2 Introduction to the concepts and Practical with mlr - Tuning and Nested Cross-Validation - Regularization and Feature Selection Prerequisite The course is aimed at advanced R programmers, preferably with some knowledge of statistics and data modeling (See prerequisite materials from Day-1, 2, & 4). In this course, our learners will learn more about machine learning and its application and implementation through the hands-on sessions and use cases. Optional: Discussion-Based Session On The Principle of Machine Learning Anna Kreshuk (EMBL Group Leader) will lead a one-day discussion-based session on 14 October 2019 to address your questions on the prerequisite materials on the principle of Machine Learning. This will also allow you to connect with other participants of this workshop informally, and discuss the materials in smaller groups. Please register for this workshop separately: https://bio-it.embl.de/events/machine-learning-discussion-workshop-2019/. Registration Please register on this page: https://bio-it.embl.de/events/machine-learning-in-r-2019/ Please note that the maximum capacity of this course is 40 participants and registration is required to secure a place. If you have any questions, please contact Malvika Sharan. In your registration, please mention your EMBL group name, or institute's name (e.g. DKFZ, Uni-HD) if you are registering as an external participant. Costs 60,00 EUR Keywords: Machine Learning, R 2019-11-06 09:00:00 UTC 2019-11-07 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany    workshops_and_courses  
19 November 2019
Leuven, BelgiumGenome Engineering https://training.vib.be/product/127 https://tess.elixir-europe.org/events/genome-engineering 2019-11-19 09:00:00 UTC 2019-11-19 00:00:00 UTC VIB Bioinformatics Core Provinciehuis Vlaams-Brabant, Leuven, Belgium Provinciehuis Vlaams-Brabant Leuven Belgium 3010      
Analysis of 16S rRNA metagenomic experiments
25 November 2019
Leuven, BelgiumAnalysis of 16S rRNA metagenomic experiments https://training.vib.be/product/119 https://tess.elixir-europe.org/events/analysis-of-16s-rrna-metagenomic-experiments Processing and statistical analysis of 16S rRNA metagenomic experiments using R & Lotus pipeline. The following analytical steps from raw data to communicable results will be on the programme: - Preparation of sequencing data, read filtering, data cleaning - Data normalization - Numerical ecology: Clustering, Ordination, Diversity, Modelling - Univariate & Multivariate Statistics - Biological interpretation 2019-11-25 09:00:00 UTC 2019-11-25 00:00:00 UTC VIB Bioinformatics Core Park Inn by Radisson Leuven, Leuven, Belgium Park Inn by Radisson Leuven Leuven Belgium 3010      
Hands on introduction to ChIP-seq and ATAC-seq analysis
17 February 2020
Leuven, BelgiumHands on introduction to ChIP-seq and ATAC-seq analysis https://training.vib.be/product/129 https://tess.elixir-europe.org/events/hands-on-introduction-to-chip-seq-and-atac-seq-analysis The aim is to: have an understanding of the nature of ChIP-seq and ATAC-seq data perform a complete analysis workflow including QC, read mapping, visualization in a genome browser and peak-calling using command line and open source software for each each step have an overview of possible downstream analyses perform a motif analysis with online web programs This training does not cover all methods available today. It does not aim at bringing users to a professional NGS analyst level but provides enough information to allow biologists understand what DNA sequencing practically is and to communicate with NGS experts for more in-depth needs. 2020-02-17 09:00:00 UTC 2020-02-17 00:00:00 UTC VIB Bioinformatics Core Park Inn by Radisson Leuven, Leuven, Belgium Park Inn by Radisson Leuven Leuven Belgium 3010      
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