Scientific topics: Data visualisation
R for Reproducible Scientific Analysis
14 - 17 July 2020R for Reproducible Scientific Analysis https://elixir-iib-training.github.io/website/2020/07/14/SWC_RforReproducibleScientificAnalysis-online.html https://tess.elixir-europe.org/events/r-for-reproducible-scientific-analysis-d1cbf082-e0f6-4791-b690-68d062097d5c Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. The course is aimed at both Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R. Some best practices for scientific programming will be explained: breakdown analyses into modular units, task automation, and encapsulation. You don't need to have any previous knowledge of the tools that will be presented at the workshop. 2020-07-14 09:00:00 UTC 2020-07-17 13:10:00 UTC Vincenza Colonna (CNR), Loredana Le Pera (CNR), Allegra Via (CNR) Bioinformatics Data visualisation Data management Computer science National Research Council of Italy firstname.lastname@example.org, email@example.com  BioinformaticiansBiologistsBioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R 15 workshops_and_courses registration_of_interest R-programmingR StudioData VisualizationData handling
KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics (Webinar)
29 - 30 July 2020
Cambridge, United KingdomKNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics (Webinar) http://training.csx.cam.ac.uk/bioinformatics/event/3508000 https://tess.elixir-europe.org/events/knime-practical-introduction-to-knime-analytics-platform-and-its-application-in-bioinformatics-webinar This event introduces participants to the [KNIME](https://www.knime.com/) Analytics Platform, an open source data science platform with a visual workflow editor, that can be used by users without prior programming experience or integrated with existing scripts written in R or Python. These sessions are aimed towards anyone who has an interest in building data science workflows with different kinds of life science data. The sessions will cover how to aggregate data from different sources (e.g., files, databases, web services), how to calculate simple statistics (e.g., for data exploration), network mining (e.g., protein-protein interactions) and big data analytics (e.g., next-generation sequencing data). The webinar will combine practical and taught content to demonstrate how users can use KNIME to design and utilise reproducible data science workflows, such as analytics tasks, and better explore and understand their data. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3508000&course-title=KNIME%20webinar).'' 2020-07-29 13:00:00 UTC 2020-07-30 15:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Bioinformatics University of Cambridge Bioinformatics Training  This hands-on event is suitable for anyone who has an interest in building data science workflows with different kinds of life science data.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000"> workshops_and_courses  HDRUK
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