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  
NGS - Genome variant analysis
8 - 9 December 2020
Bern, SwitzerlandNGS - Genome variant analysis https://www.sib.swiss/training/course/2020-12-NGS2 https://tess.elixir-europe.org/events/ngs-genome-variant-analysis-3c6175a8-5953-4030-8caf-ebc32ee36273 This course will take place in Bern with rules complying to the COVID-19 situation (distance and hygiene). 2020-12-08 09:00:00 UTC 2020-12-09 00:00:00 UTC SIB, Bern, Switzerland SIB Bern Switzerland  firstname.lastname@example.org  Graduate studentsIndustryAcademicsPhDPhD students workshops_and_courses  
Introduction to R Shiny
29 March 2021
Bern, SwitzerlandIntroduction to R Shiny https://www.sib.swiss/training/course/2021-03-shiny https://tess.elixir-europe.org/events/introduction-to-r-shiny-7c523dd5-326e-4c63-8885-097e76e33af5 Overview Shiny is an open-source R package that allows building interactive web applications from R, and without knowledge of web-development, enabling data scientists to make their data or analysis interactively explorable and accessible to 2021-03-29 09:00:00 UTC 2021-03-29 00:00:00 UTC SIB, Bern, Switzerland SIB Bern Switzerland  email@example.com  Graduate studentsIndustryAcademicsPhDPhD students workshops_and_courses  
15 - 17 June 2021
Bern, SwitzerlandSingle-cell Transcriptomics https://www.sib.swiss/training/course/2021-06-sc-Transcriptomics https://tess.elixir-europe.org/events/single-cell-transcriptomics-3ed8f722-6586-4194-baa4-334463d21f87 Overview In contrast to the Bulk RNA sequencing used to quantify the abundance of gene and transcript expression at a whole population level, single-cell RNA sequencing (scRNAseq) allows researchers to study gene expression profile at a single cell 2021-06-15 09:00:00 UTC 2021-06-17 00:00:00 UTC SIB, Bern, Switzerland SIB Bern Switzerland  firstname.lastname@example.org  Graduate studentsIndustryAcademicsPhDPhD students workshops_and_courses  
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