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  • Bulk RNASeq analysis for differential expression

    9 - 20 September 2019

    Leuven, Belgium

    Elixir node event
    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, Germany

    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: 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 [] [] [] [] [] []
  • 4th Disease Maps Community Meeting - DMCM2019

    2 - 4 October 2019

    Sevilla, Spain

    Elixir node event
    4th Disease Maps Community Meeting - DMCM2019 The [4th Disease Maps Community Meeting] ( is hosted by the [Clinical Bioinformatics Area] (, FPS, Hospital Virgen del Rocio. **Invited Talks** * _Schizophrenia Map: Data to knowledge to data_ **Jessica Dale Tenenbaum**, Duke University at Durham, North Carolina, USA * _Logic modeling to integrate disease maps and various omics data_ **Julio Saez-Rodriguez**, RWTH-Aachen University Hospital, Aachen, Germany * _Toward whole-cell computational models for precision medicine_ **Jonathan Karr**, Icahn School of Medicine at Mount Sinai, New York, USA * _Computational approaches to tackle chemoresistance in high-grade serous ovarian cancer_ **Sampsa Hautaniemi**, Faculty of Medicine, University of Helsinki, Finland **Afternoon discussion sessions** Afternoon breakout discussion sessions are planned following the example of the 2nd Disease Maps Community Meeting in Luxembourg. We invite proposals: a title and a brief description of the topic (1 page maximum). 4-6 topics will be selected, introduced 2nd October and discussed 3rd and 4th October with summaries presented at the end to all the participants. **Abstract subimission and registration** 2019-10-02 09:30:00 UTC 2019-10-04 13:30:00 UTC Disease Maps Project Centro de Documentación Clínica Avanzada, s/n, Avda de Manuel Siurot, Sevilla, Spain Centro de Documentación Clínica Avanzada, s/n, Avda de Manuel Siurot Sevilla Spain 41013 Systems medicine Translational medicine Bioinformatics Fundación Progreso y Salud (FPS)Hospital Virgen del Rocio [] [] meetings_and_conferences [] BioinformaticsClinical BioinformaticsDiseasesDisease mapsTranslational Bioinformaticssystems medicine
  • Linux Introduction

    3 October 2019

    Leuven, Belgium

    Elixir node event
    Linux Introduction This course will give a short practical summary of the basic things one needs when using mainly the command line in Linux: Overview and distributions How to start working with Linux Short introduction to Graphical User Interface Command line basics: getting help, useful commands Linux File System: navigating, file paths, file manipulation, disk space, archiving Text editing Groups, users, security: access rights Process control This course provides several hands-on sessions 2019-10-03 09:00:00 UTC 2019-10-03 13:00:00 UTC Vlaams Supercomputer Centrum Willem de Croylaan 52, 52, Willem de Croylaan, Leuven, Belgium Willem de Croylaan 52, 52, Willem de Croylaan Leuven Vlaams-Brabant Belgium 3001 [] [] [] workshops_and_courses first_come_first_served Linux basics
  • The Brain Mosaic: Cellular heterogeneity in the CNS (2nd edition)

    10 - 11 October 2019

    Leuven, Belgium

    The Brain Mosaic: Cellular heterogeneity in the CNS (2nd edition) Recent advances in technology now allow us to explore multiple aspects of heterogeneity at the single cell level. Nowhere is this more important than in the Central Nervous System (CNS), where cellular heterogeneity has profound effects on all aspects of normal brain function and behavior and explains important aspects of disease pathology. With the second edition of the Brain Mosaic conference we aim to bring together leaders in this emerging discipline to discuss how it is advancing our knowledge of CNS function and disease. Speakers at this neuroscience meeting on ‘single cell’ will emphasize the multi-disciplinary nature of the field in several sessions: • Single cell sequencing and cell diversity • Spatial transcriptomics • New developments in technology and bioinformatics • CNS sequencing and relevance to disease research • Connections an activity Poster information: Format: A0 (841 x 1189 mm / 33.1 x 46.8 in), portrait orientation Deadlines: • Early Bird: 8 September 2019 • Late Registration: 26 September 2019 • Abstract deadline: 29 August 2019 2019-10-10 08:00:00 UTC 2019-10-11 18:00:00 UTC VIB Conferences KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat, Leuven, Belgium KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat Leuven Vlaams-Brabant Belgium 3000 Bioinformatics Transcriptomics Sequencing [] Evy Vierstraete +32 9 244 66 11 [] [] meetings_and_conferences [] Single cell sequencing Sequencingcell diversitySpatial transcriptomicsTranscriptomicstranscriptomicsAlzheimers Clinical Trials And StudiesAlzheimers DiseaseAmnesiaAnimal Models In DementiaAnxiety Autoimmune Disorders & Multiple SclerosisBehavioral IssuesBiopsychiatry Blood-Brain BarrierBrain DiagnosisBrain Disease & FailureBrain InjuryBrain TumourCentral Nervous SystemCerebrovascular DiseaseChild NeurologyClinical NeurophysiologyCNS TumorsCognitive DisordersDementiaDementia CareDemyelinationDiagnosis And TherapyEpilepsyGenetics Genetics And Epigenetics Geriatric NeurologyGut- Brain AxisHeadacheIntervention NeuroradiologyMeningitisMental HealthMental Health NursingMetastatisMovement DisordersMultiple SclerosisMultiple Sclerosis DiagnosisNervous SystemNeural EngineeringNeural EnhancementNeuro-Oncology NeuroanaatomyNeuroanatomyNeurocritical CareNeurodegenerationNeurodegenerative DisorderNeurodegenerative DisordersNeurogeneticsNeuroimagingNeuroimmunologyNeurological DisordersNeurological Disorders And StrokeNeurological InfectionsNeurological SurgeryNeurologistNeurologyNeuromedicinesNeuromuscular MedicineNeuronal AutoantibodiesNeuropathyNeuropeptidesNeuropharmacologyNeuroscienceNeurosurgeryNeurotoxicologyNeurotoxinsNeurotransmissionNeurotransmittersParkinsonParkinsons DiseasePediatric NeurologyPharmacology Psychiatry Psychology PsychoneuroimmunologyRecent Research And Case StudiesRehabilitation TherapyStem Cell Treatment For Neurological DisordersStrokesTraumatic Brain InjuryCNS sequencing disease researchbioinformatics• New developments in technology
  • ELIXIR Innovation and SME Forum: Distributed Data Analysis - The (Health) Data Train

    10 - 11 October 2019

    Utrecht, Netherlands

    ELIXIR Innovation and SME Forum: Distributed Data Analysis - The (Health) Data Train The Innovation and SME Forum on 10-11 October with a focus on “distributed data analysis - the (health) data train” in Utrecht is open to researchers working in the data driven life-science sector, large and small companies that develop services for data management and sharing, as well as people involved in national healthcare initiatives and anyone else who is interested in learning more about data-driven innovation in the life-science sector. The concept of distributed data analysis as contained in the FAIR Data Train approach has been endorsed by the Dutch government in a letter to the Dutch Parliament in December 2018. Meanwhile, the Dutch Government is preparing to implement this novel strategy in the Dutch health care information system. This signals the emerging market for FAIR-based distributed analysis approaches beyond the science domain. The ELIXIR-NL public-private network is closely involved in specification and implementation.      This event contains a mix of high-level keynote speakers and interactive sessions to discuss and interact with other companies and ELIXIR partners. A specific session with Flash Talks, will give SMEs and Start-Ups the chance to introduce their work to a broad audience. This event is a collaborative effort, organised by ELIXIR Netherlands (DTL) in collaboration with several DTL SME partners. More generally, the event aims to inform about ELIXIR resources and create a space to network for industry and academia.   What people think about previous events: "The ELIXIR Innovation and SME Forum was a great opportunity for us to interact with ELIXIR and also other SME organisations to share ideas and better understand how ELIXIR together with small and large companies can help bridging the "digital islands" of information and provide true value for life science stakeholders, researchers and in the ned, the patients." - Henrik Plym-Forshell, BC Platforms, Sweden     2019-10-10 09:00:00 UTC 2019-10-11 00:00:00 UTC Jongerius Kantoor - Villa Jongerius, Utrecht, Netherlands Jongerius Kantoor - Villa Jongerius Utrecht Netherlands 3527 [] [] [] [] [] []
  • Joint SIB / NBIS Autumn School Single Cell Analysis

    13 - 19 October 2019


    Elixir node event
    Joint SIB / NBIS Autumn School Single Cell Analysis #training #url: contact: This course is organised by NBIS/SciLifeLab and the SIB PhD Training Network. Priority is given to their members, but is open to everyone. Overview Single-cell analysis of the various -omics makes possible to discover mechanisms, strains, expressions that would not be noticed when studying bulk cell populations. New developments lead more and more research groups to use this technology and this Autumn School will provide an overview of the various methods and fields of application through lectures and hands-on exercises. Generally, the afternoons will be dedicated to practical exercises where you will be able to apply the theoretical concepts learned during the morning session. Sometimes there will be a mix of both. One afternoon will be devoted to a social activity. See the preliminary program below for more details... Audience This course is addressed to PhD students, postdocs and scientists starting to work with single cell technologies and analysis. Learning objectives The first objective of this school is to provide participants with a broad knowledge of single cell analysis that would enable them to understand its application in general. This would be achieved via the multiple lectures provided by our lecturers throughout the week. The second objective is to enable participants to apply single cell analysis in their own research. This would be achieved by all the exercises that would follow the theoretical lectures. The third objective is networking with the lecturers and also the other participants that will most likely share similar interests. Prerequisites Knowledge / competencies Students should have intermediate to advanced R skills (able to read, understand and write R scripts), know how to use common R/Bioconductor packages, be familiar with the typical steps involved in a bulk RNA-seq (both experimental and data analysis parts). Technical Students should be able to bring their own laptop with R and RStudio installed. A list of required R-packages will be sent before the course and these should be installed prior to the course start. Program Sunday ≈17-18h: arrival of the participants, check-in Welcome and dinner Monday: Transcriptomics Introductory lecture: Vincent Gardeux, Laboratory of Systems and Genetics, EPFL / SIB, Lausanne, Switzerland. Quantification, QC & Normalization: Davide Risso, Department of Statistical Sciences, University of Padova, Italy. Dimensionality reduction: Paulo Czarnewski, NBIS, Uppsala University, SciLifeLab, Uppsala, Sweden. Tuesday: Transcriptomics Batch correction: Panagiotis Papasaikas, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel. Switzerland. Clustering - methods overview: Charlotte Soneson, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland. Cell fate mapping and trajectories: Robrecht Cannoodt, VIB-UGent Center for Inflammation Research, Gent, Belgium. Wednesday: Transcriptomics Differential expression: Charlotte Soneson, Computational Biology, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland. Afternoon: Team activity Evening: Keynote lecture: Alejandro Sifrim, Laboratory of Reproductive Genomics, KU Leuwen, Belgium. Thursday: Proteomics Transcriptome + proteome: Johan Reimegård, Uppsala University, SciLifeLab, Uppsala, Sweden. Differential abundance and differential state analysis of single cell cytometry data: Mark Robinson & Helena Crowell, Statistical Genomics, University of Zurich / SIB, Zurich, Switzerland. Friday: Other omics and integration Spatial mapping of scRNAseq: Lars Borm, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. Lineage tracing and scRNA: Maria Florescu, Hubrecht Institute, Developmental Biology and Stem Cell Research, Utrecht, Netherlands. Data integration methods: Sebastien Smallwood, Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. End of the event around 14h30. Application Before applying, be sure your profile matches the prerequisites and do not forget to take this survey. If you do not take the survey, your application will not be taken into consideration. Please use the same email address for the application and the survey. Registration fees are the following: 250 Swiss Francs for members of the SIB PhD Training Network and for PhD students enrolled at a Swedish University, 600 Swiss Francs for other academics, 1200 Swiss Francs for for-profit institutions. This includes full course fees, full board accommodation at the hotel and coffee breaks. Deadline for application and free-of-charge cancellation is set is set to 16 September 2019. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions. You will be informed by email of your registration confirmation. Click to apply Venue and Time Location: Hotel Central Residence & Spa, Leysin, Switzerland. Arrival: Sunday before 18h Departure: Friday around 14h30 Additional information Coordination: Björn Nystedt (NBIS/SciLifeLab), Grégoire Rossier (SIB). Scientific Committe: Åsa Björklund (NBIS/SciLifeLab), Michael Stadler & Charlotte Soneson (SIB and FMI Basel), Vincent Gardeux (EPFL). For more information, please contact Grégoire Rossier. 2019-10-13 09:00:00 UTC 2019-10-19 00:00:00 UTC Leysin Leysin [] [] [] [] [] []
  • BioSB course: Algorithms for Genomics

    14 - 18 October 2019

    Delft, Netherlands

    Elixir node event
    BioSB course: Algorithms for Genomics Comparative genomics aims to compare large sets of genomes in order to understand and explain differences in traits of an organism. Contemporary methods are powered by fundamental algorithms and data structures, which are efficient and scale to large data sets.… The post BioSB course: Algorithms for Genomics appeared first on Dutch Techcentre for Life Sciences. 2019-10-14 09:00:00 UTC 2019-10-18 00:00:00 UTC Delft, Netherlands, Delft, Netherlands Delft, Netherlands Delft Netherlands [] [] [] workshops_and_courses [] []
  • Software Carpentry Workshop

    16 - 18 October 2019

    Heidelberg, Germany

    Software Carpentry Workshop Educators: Malvika Sharan, Georg Zeller, Mike Smith, Thomas Schwarzl, Frank Thommen (HD-HuB), Holger Dinkel Date: 16-10-2019 - 18-10-2019 09:00-18:00 Location: ATC Computer Training Lab, EMBL Heidelberg Contents: Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing. Topics covered include: Introduction to Python scripting Introduction to the Unix shell and usage of cluster resources Version control with Git and Github Analysis pipeline management Scientific Python & working with biological data Literate programming with Jupyter notebooks Learning goals: This course aims to teach software writing skills and best practices to researchers in biology who wish to analyse data, and to introduce a toolset that can help them in their work. The goal is to enable them to be more productive and to make their science better and more reproducible. Prerequisites: This is a course for researchers in the life sciences who are using computers for their analyses, even if not full time. The target student will be familiar with some command line/programmatic computer usage, will want to become more confident using these tools efficiently and reproducibly. A target student will have written a for loop in some language before, but will not know what git is (or at least not be very comfortable using git). Keywords: Programming; Command Line; Version Control; Bioinformatics; Data Analysis; Cluster Computing Tools: Python; Bash; Unix/Linux; Git; GitHub; SnakeMake; Biopython; Pandas; Numpy; SciPy; Matplotlib 2019-10-16 09:00:00 UTC 2019-10-18 17:00:00 UTC de.NBI / ELIXIR Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Machine Learning in R

    6 - 7 November 2019

    Heidelberg, Germany

    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: Registration Please register on this page: 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 [] []
  • Genome Engineering

    19 November 2019

    Leuven, Belgium

    Elixir node event
    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, Belgium

    Elixir node event
    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 [] [] [] [] [] []
  • CABANA Workshop: Analysis of Crop Genomics Data

    2 - 6 December 2019

    Bogota, Colombia

    Elixir node event
    CABANA Workshop: Analysis of Crop Genomics Data This course will introduce crop biologists to methods and approaches for analysing crop genomics data. 2019-12-02 08:30:00 UTC 2019-12-06 12:45:00 UTC Universidad de los Andes - UniAndes, Bogota, Colombia Universidad de los Andes - UniAndes Bogota Colombia 111711 [] Marco Cristancho [] [] [] [] HDRUK
  • Hands on introduction to ChIP-seq and ATAC-seq analysis

    17 February 2020

    Leuven, Belgium

    Elixir node event
    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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