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  
First steps with R in Life Sciences - streamed
27 - 28 October 2020
Streamed from Lausanne, SwitzerlandFirst steps with R in Life Sciences - streamed https://www.sib.swiss/training/course/2020-10-R https://tess.elixir-europe.org/events/first-steps-with-r-in-life-sciences-009cd52b-e152-423a-8888-02c096d98fc5 The course is now full with a waiting list. Application is still open but you will be directly put in the waiting list. There will be an other session end of the year. Thank you for your understanding. 2020-10-27 09:00:00 UTC 2020-10-28 00:00:00 UTC SIB, Streamed from Lausanne, Switzerland SIB Streamed from Lausanne Switzerland  firstname.lastname@example.org  Graduate studentsIndustryAcademicsPhDPhD students workshops_and_courses  
Enrichment Analysis - streamed
4 December 2020
Streamed from Lausanne, SwitzerlandEnrichment Analysis - streamed https://www.sib.swiss/training/course/2020-12-enrichment-analysis https://tess.elixir-europe.org/events/enrichment-analysis-streamed-e34c9070-8d06-485b-9a92-2fdcd0b9385a We are sorry but this course is oversubscribed, with a long waiting list. Sign up here to be informed of the next course. 2020-12-04 09:00:00 UTC 2020-12-04 00:00:00 UTC SIB, Streamed from Lausanne, Switzerland SIB Streamed from Lausanne Switzerland  email@example.com  Graduate studentsIndustryAcademicsPhDPhD students workshops_and_courses  
2 - 4 March 2021
Streamed from Lausanne, SwitzerlandSingle-cell Transcriptomics https://www.sib.swiss/training/course/2021-03-sc-Transcriptomics https://tess.elixir-europe.org/events/single-cell-transcriptomics-874b3216-acb9-4363-b47f-0d5b0c98629d 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 2021-03-02 09:00:00 UTC 2021-03-04 00:00:00 UTC SIB, Streamed from Lausanne, Switzerland SIB Streamed from Lausanne Switzerland  firstname.lastname@example.org  Graduate studentsIndustryAcademicsPhDPhD students workshops_and_courses  
Note, this map only displays events that have geolocation information in TeSS.
For the complete list of events in TeSS, click the grid tab.