Event types: Workshops and courses
Content provider: de.NBI
OpenMS Developer Meeting
3 - 7 August 2020OpenMS Developer Meeting https://www.denbi.de/training/749-openms-developer-meeting https://tess.elixir-europe.org/events/openms-developer-meeting Educators: Julianus Pfeuffer (CIBI), Timo Sachsenberg (CIBI) Date: 3 - 7 August 2020 Location: Online Contents: The OpenMS developer meeting brings bioinformaticians working in computational mass spectrometry together to shape the future development of OpenMS. It is targeted to core developers, new developers, and potential future contributors. Short talks, developer tutorials, and code sprints will be intertwined. Participants will have the opportunity to design custom tools and workflows together with instructors. External users are welcome to bring their own ideas and will receive detailed feedback as well as help getting started in OpenMS development. Progress will be tracked on our GitHub page with a resume of each day. Prerequisites: • Target audience: This developer retreat is targeted to core, new and potential future developers of the OpenMS library and its tools. • Software requirements: For the retreat we require a working installation of any supported compiler, cmake, git, doxygen and OpenMS’ contrib libraries. Basic knowledge in C++ is highly beneficial. The participants should bring their own laptop computers. Learning goals: • Developing algorithms and tools with the OpenMS library • Working with OpenMS, its build system and its datastructures • Documenting code with Doxygen. • Deeper insights into new and established algorithms of the library • Learning the GitHub workflow of OpenMS • Designing and implementing tools or kernel classes in OpenMS Keywords: LC-MS-based proteomics and metabolomics, OpenMS, C++, algorithms for mass spectrometry, software engineering/design Tools: OpenMS, git, cmake, C++ gcc / clang toolchain 2020-08-03 09:00:00 UTC 2020-08-07 17:00:00 UTC de.NBI Korinth, Korinth, Greece Korinth Korinth Greece    workshops_and_courses  
Computing Skills for Reproducible Research: Software Carpentry Course 2020
19 - 23 October 2020Computing Skills for Reproducible Research: Software Carpentry Course 2020 https://www.denbi.de/training/789-software-carpentry-course-2020 https://tess.elixir-europe.org/events/computing-skills-for-reproducible-research-software-carpentry-course-2020 Educators: Renato Alves (HD-HuB) Date: 19-10-2020 - 23-10-2020 09:00-18:00 Location: Online 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 2020-10-19 09:00:00 UTC 2020-10-23 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany    workshops_and_courses  
Tools for Systems biology modeling and data exchange: COPASI, CellNetAnalyzer, SABIO-RK, FAIRDOMHub/SEEK 2022
9 - 11 August 2022
Heidelberg, GermanyTools for Systems biology modeling and data exchange: COPASI, CellNetAnalyzer, SABIO-RK, FAIRDOMHub/SEEK 2022 https://www.denbi.de/training/1409-tools-for-systems-biology-modeling-and-data-exchange-copasi-cellnetanalyzer-sabio-rk-fairdomhub-seek-2022 https://tess.elixir-europe.org/events/tools-for-systems-biology-modeling-and-data-exchange-copasi-cellnetanalyzer-sabio-rk-fairdomhub-seek-2022 During this 3-day course, attendees will learn basic techniques for modeling of biochemical networks including data access and storage due to the FAIR principles. The first day introduces kinetic modeling techniques which will be illustrated and exercised with COPASI. The second day continues with principles of stoichiometric and constraint-based modeling coupled with hands on exercises using CellNetAnalyzer and a demonstration of CNApy. The third day SABIO-RK is used as a resource for kinetic data and FAIRDOM Hub/SEEK is introduced as a data and model management platform fitted to the needs of systems biologists. The hands on exercises throughout the three days will ensure that attendees become familiar with the software tools and with analyzing, creating, editing, importing, simulating and storing biochemical networks. 2022-08-09 09:00:00 UTC 2022-08-11 17:00:00 UTC de.NBI /ELIXIR-DE BioQUANT, Heidelberg, Germany BioQUANT Heidelberg Germany 69120 University of Heidelberg, BioQUANT Frank T. Bergmann (email@example.com)  ResearcherModellerStudents workshops_and_courses  
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