Population genomics: Background, tools and programming
1 - 8 April 2020
Procida, ItalyPopulation genomics: Background, tools and programming https://elixir-iib-training.github.io/website/2020/04/01/population-genomics-procida.html https://tess.elixir-europe.org/events/population-genomics-background-tools-and-programming-0e44cebb-4ef0-4f06-b9f4-f512f0bef569 This EMBO Practical Course will cover coalescent theory, the effect of demography in space and time, genetic clustering, the detection and quantification of admixture and selection. Lectures on these topics will be complemented by hands-on computer practicals introducing a wide range of software packages, both in R and Python. This course is aimed at evolutionary biologists who already have basic bioinformatics skills. The main criterion for selection will be how much a candidate can benefit from the course. 2020-04-01 13:00:00 UTC 2020-04-08 15:30:00 UTC EMBO Via Principessa Margherita, 46, Procida, Italy Via Principessa Margherita, 46 Procida Città Metropolitana di Napoli Italy 80079 Population genomics  firstname.lastname@example.org  Evolutionary BiologistsPhD studentsPost-Docs workshops_and_courses  Population GenomicsGenetic DiversityGWASPopulation geneticsgenetic clustering
Proteomics and Metabolomics with OpenMS
27 - 29 April 2020
Boston, United States of AmericaProteomics and Metabolomics with OpenMS https://www.denbi.de/training/750-openms-proteomics-and-metabolomics-course https://tess.elixir-europe.org/events/openms-proteomics-and-metabolomics-course Educators: Oliver Kohlbacher, Julianus Pfeuffer, Timo Sachsenberg (CIBI), assisted by Oliver Alka Date: April 27 - April 29 Location: Northeastern University 315 and 320 Shillman Hall 115 Forsyth Street, Boston, Massachusetts 02115, USA Keynote Speakers: Oliver Kohlbacher Contents: The course introduces key concepts of non-targeted label-free proteomics and metabolomics. Non-targeted methods are ideal for unbiased discovery studies and scale well for large-scale studies (e.g., clinical proteomics/metabolomics). Based on example datasets we will then introduce several open-source software tools for proteomics and metabolomics, primarily focusing on OpenMS (www.OpenMS.org). We will demonstrate how these tools can be combined into complex data analysis workflows including visualization of results. Participants will have the opportunity to bring their own data and design custom analysis workflows together with instructors. Target audience: Target audience are experimental scientists with experience in proteomic and/or metabolomic research. We also welcome computational scientists interested in working with raw mass spectrometric data. Software Requirements: The participants should bring their own laptop computers. Instructions regarding downloading and installing all required software (Windows, OSX, or Linux) will be provided prior to the course. Installer versions of all required software will be available. Keywords: LC-MS based proteomics and metabolomics, OpenMS, workflows, KNIME, data analysis Tools: OpenMS, KNIME 2020-04-27 09:00:00 UTC 2020-04-29 17:00:00 UTC de.NBI Boston, Boston, United States of America Boston Boston Suffolk County United States of America    workshops_and_courses  
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