Scientific topics: Workflows
Introduction to Linux and Workflows for Biologists
14 - 18 May 2018
Edinburgh, United KingdomIntroduction to Linux and Workflows for Biologists https://genomics.ed.ac.uk/services/introduction-linux-and-workflows-biologists https://tess.elixir-europe.org/events/introduction-to-linux-and-workflows-for-biologists-866df86c-a827-433d-9445-af7726bcf5a1 Most high-throughput bioinformatics work these days takes place on the Linux command line. The programs which do the majority of the computational heavy lifting — genome assemblers, read mappers, and annotation tools — are designed to work best when used with a command-line interface. Because the command line can be an intimidating environment, many biologists learn the bare minimum needed to get their analysis tools working. This means that they miss out on the power of Linux to customise their environment and automate many parts of the bioinformatics workflow. This course will introduce the Linux command line environment from scratch and teach students how to make the most of its tools to achieve a high level of productivity when working with biological data. 2018-05-14 09:00:00 UTC 2018-05-18 17:00:00 UTC The King's Buildings, The University of Edinburgh, Edinburgh, United Kingdom The King's Buildings, The University of Edinburgh Edinburgh United Kingdom EH9 3JN Workflows Bioinformatics Edinburgh Genomics Bert Overduin - firstname.lastname@example.org   workshops_and_courses  BioinformaticsLinuxWorkflows
Big Data and Cloud Computing
1 June 2018
Cambridge, United KingdomBig Data and Cloud Computing http://training.csx.cam.ac.uk/bioinformatics/event/2473649 https://tess.elixir-europe.org/events/big-data-and-cloud-computing Recent advances in genomics, proteomics, imaging and other technologies, have resulted in data being generated at a faster rate than they can be meaningfully analysed. In this course we will show you how cloud computing can be used to meet the challenges of storage, management and analysis of big data. The first half of the course will introduce cloud infrastructure technologies. The second half will cover tools for collaborative working, resource management, and creation of workflows. The instructors will demonstrate how they are using cloud computing in their own research. N.B. If you sign up for this course, you will be automatically registered for an [AWS educate account](https://aws.amazon.com/education/awseducate/), which will provide you with sufficient AWS credits to complete the course exercises. If you decide to continue using cloud computing after the course, you will need to either purchase more credits or apply for a grant from programs like: [AWS Cloud Credits for Research](https://aws.amazon.com/research-credits/), [Microsoft Azure for Research](https://www.microsoft.com/en-us/research/academic-program/microsoft-azure-for-research/) or [Google Cloud Platform Education Grants](https://cloud.google.com/edu/). 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2473649&course-title=Big%20Data%20and%20Cloud%20Computing).'' 2018-06-01 08:30:00 UTC 2018-06-01 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Workflows Bioinformatics University of Cambridge Bioinformatics Training  Researchers in the life sciences with little or no experience of cloud computing.Researchers from other disciplines may find the course usefulbut should be aware that biological data will be used in some of the examples and exercises.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses  HDRUK
Bioinformatics Workflows with Snakemake
30 September - 1 October 2019
Edinburgh, United KingdomBioinformatics Workflows with Snakemake https://genomics.ed.ac.uk/services/long-read-transcriptomics https://tess.elixir-europe.org/events/bioinformatics-workflows-with-snakemake Researchers needing to implement data analysis workflows face a number of common challenges, including the need to organise their tasks, make effective use of compute resources, handle unexpected errors in processing, and document and share their methods. The Snakemake workflow system provides effective solutions to these problems. By the end of the course, you will be confident in using Snakemake to tackle complex workflow problems and in your day-to-day research. 2019-09-30 09:00:00 UTC 2019-10-01 17:00:00 UTC The King's Buildings, The University of Edinburgh, Edinburgh, United Kingdom The King's Buildings, The University of Edinburgh Edinburgh United Kingdom EH9 3FL Workflows Genomics Bioinformatics Edinburgh Genomics Edinburgh Genomics Training Team - email@example.com   workshops_and_courses  HDRUK
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