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  • Graphical presentation of biological data

    4 November 2011

    Lausanne, Switzerland

    Graphical presentation of biological data 2011-11-04 00:00:00 UTC 2011-11-04 00:00:00 UTC SIB Swiss Institute of Bioinformatics Genopode building of the University of Lausanne, Lausanne, Switzerland Genopode building of the University of Lausanne Lausanne Switzerland Bioinformatics [] [] [] workshops_and_courses [] []
  • Probability Theory and Network Inference

    8 - 11 November 2011

    Basel, Switzerland

    Probability Theory and Network Inference 2011-11-08 00:00:00 UTC 2011-11-11 00:00:00 UTC SIB Swiss Institute of Bioinformatics Biozentrum, Basel, Switzerland Biozentrum Basel Switzerland Bioinformatics [] [] [] workshops_and_courses [] []
  • High Performance Computing (HPC) in Life Science

    11 November 2011

    Lausanne, Switzerland

    High Performance Computing (HPC) in Life Science 2011-11-11 00:00:00 UTC 2011-11-11 00:00:00 UTC SIB Swiss Institute of Bioinformatics Genopode Building, Lausanne, Switzerland Genopode Building Lausanne Switzerland Bioinformatics [] [] [] workshops_and_courses [] []
  • Best practices in programming

    21 - 22 November 2011

    Bern, Switzerland

    Best practices in programming 2011-11-21 00:00:00 UTC 2011-11-22 00:00:00 UTC SIB Swiss Institute of Bioinformatics main building of the University of Bern, Bern, Switzerland main building of the University of Bern Bern Switzerland Bioinformatics [] [] [] workshops_and_courses [] []
  • CAS Personalized Molecular Oncology

    1 October 2018 - 31 July 2019

    Basel, Switzerland

    Elixir node event
    CAS Personalized Molecular Oncology The CAS in Personalized Molecular Oncology aims at providing a comprehensive and integrative view of the field, by covering all the aspects involved along the pipeline: (i) tumor biology and genetics, (ii) molecular pathology, (iii) clinical bioinformatics, and (iv) clinical oncology. First of its kind in Switzerland, it will focus on the methodologies used to generate, analyze and interpret patients’ molecular profiles, also touching upon the associated technical, regulatory and ethical challenges. As an important outcome, it will establish a common language between the wide range of professionals involved in the personalized oncology process, from biologists, bioinformaticians, pathologists to clinicians, enabling an efficient and better informed use of e.g. genomic data for both routine clinical practice and clinical research. Moreover, it should empower professionals to develop a vision for their own institution, by critically evaluating the potential benefits and limitations of current and future developments in personalized oncology. The CAS is organized jointly by the University Hospital of Basel, the University Hospital of Lausanne, and the SIB Swiss Institute of Bioinformatics. 2018-10-01 09:00:00 UTC 2019-07-31 17:00:00 UTC SIB Swiss Institute of Bioinformatics Pathologie Universitätsspital Basel, 40, Schönbeinstrasse, Basel, Switzerland Pathologie Universitätsspital Basel, 40, Schönbeinstrasse Basel Switzerland University Hospital of BaselSIB Swiss Institute of BioinformaticsUniversity Hospital of Lausanne Dr. Aitana Lebrand Clinical Bioinformatics SIB | Swiss Institute of Bioinformatics Ch. des Mines 9 CH-1202 Genève Tel. +41 (0)22 379 02 67 [] Professionals involved in personalized molecular oncology, including laboratory managers, biologists, bioinformaticians, pathologists, geneticists, clinicians and pharmaceutical company employees. workshops_and_courses registration_of_interest Tumor biology and geneticsMolecular pathologyClinical BioinformaticsClinical oncology
  • Online Jaqpot Hackathon

    3 June 2020

    Online Jaqpot Hackathon Under the subtitle “Take your research from the bench to the community by making your models available as a web service”, attendees learned how to use the Jaqpot suite and python to go from data to model, starting from a common CSV file. Jaqpot is a computational platform for in silico modelling of chemical compounds, that provides both access to its services both over a User Interface (GUI) and an Application Programming Interface (API). It is a cloud-ready application that uses the benefits of Java, R and Python, having incorporated functionality by various established and open-source machine learning and data analysis toolkits, while algorithms in any programming algorithm can be added to Jaqpot. Attached you find the following presentations: 1. Intro to NanoCommons by Martin Himly, PLUS 2. Electronic Lab Notebooks by Iseult Lynch, UoB 3. NanoCommons Knowledgebase by Dieter Maier, Biomax 4. Jaqpot Suite by Philip Doganis, NTUA 2020-06-03 10:00:00 UTC 2020-06-03 13:30:00 UTC NanoCommons [] [] early stage researchers in nanosafetymodellers for nanosafety predictionexperienced researchers in nanosafety workshops_and_courses [] Modelingdata FAIRnesstoxicity predictione-toolsnanoinformatics
  • Getting into using ELNs for experimental and computational workflows

    14 July 2020

    Getting into using ELNs for experimental and computational workflows On Tuesday, July 14th 2020, the NanoCommons team, in a joint initiative with the NanoSafety Cluster, is offering an interactive online workshop on implementing Electronic Laboratory Notebooks (ELNs) for nanosafety assessment. Under the subtitle “Getting into using ELNs for experimental and computational workflows”, you will learn how to establish a workflow using Scinote-based electronic lab notebooks. This starts with an introduction to the Scinote inventory and continues with hands-on instructions on how to manage, modify, create, and import protocols for assays. Tasks can be defined and assigned to different users and/or groups. Finally, data (incl. all relevant metadata) can be exported resulting in reports that facilitate data FAIRness. Technology advancement, the emergence of nanoinformatics and FAIR data principles implementation have increased the need for high-quality datasets. To achieve this, the data produced through academia, industry and regulatory bodies needs to be properly curated, to contain sufficient metadata and to be semantically annotated. In this way, data can be accessible and readable from both humans and machines, making it possible to be queried and mined using appropriate systems. One of the main objectives of NanoCommons is to promote the FAIR data principles, cross-project collaboration and data interoperability. This will make it possible to offer the nanosafety community high quality data that can be combined to produce big datasets and be used in novel modelling, machine learning, deep learning and AI techniques. The University of Birmingham (UoB) aims to achieve this by implementing data management processes covering the entire data lifecycle, and by moving the data curation process to the data generators. Capturing the data and metadata as they are produced will save substantial time and resources, while resulting in higher quality datasets. ELNs can be implemented, through cloud services or locally, into everyday experimental practice streamlining and simplifying experimental and computational workflows, practices and data capturing. 2020-07-14 10:00:00 UTC 2020-07-14 14:00:00 UTC NanoCommons [] [] Bench biologistscomputational scientists workshops_and_courses [] electronic lab notebook
  • RNA-Seq Data Analysis Workshop

    21 - 24 September 2020

    Leipzig, Germany

    RNA-Seq Data Analysis Workshop Advance your research. Understand RNA-Seq analyses challenges and solve them yourself. In a nutshell - Learn the essential computing skills for NGS bioinformatics - Understand NGS analysis algorithms (e.g. read alignment) and data formats - Use bioinformatics tools for handling RNA-Seq data - Create diagnostic graphics and statistics - Compare different approaches for differential expression analysis The purpose of this workshop is to get a deeper understanding in Next-Generation Sequencing (NGS) with a special focus on bioinformatics issues. Advantages and disadvantages of current sequencing technologies and their implications on data analysis will be discovered. You will be trained on understanding NGS data formats and handling potential problems/errors therein. In the course we will use a real-life RNA-seq dataset from the current market leader illumina. All workshop attendees will be enabled to perform important first tasks of NGS data analysis themselves. The course layout has been adapted to the needs of beginners in the field of NGS bioinformatics and allows scientists with no or little background in computer science to get a first hands-on experience in this new and fast evolving research topic. 2020-09-21 09:00:00 UTC 2020-09-24 17:00:00 UTC ecseq Bioinformatics GmbH iad Pc-Pool, Leipzig, Germany iad Pc-Pool Leipzig Leipzig Germany Sequence analysis Sequencing Bioinformatics [] ecSeq Bioinformatics GmbH Sternwartenstr. 29 D-04103 Leipzig Germany Email: [] BiologistsBiologists, Genomicists, Computer ScientistsMolecular BiologistsbioinformaticiansPathologistsPhD studentspostdoc 12 workshops_and_courses first_come_first_served NGS bioinformatics RNA-Seqtranscriptomics

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