Scientific topics: Bioinformatics
"Ready for BioData Management?" Data Stewardship program for the life sciences
21 February - 31 October 2022
Oeiras, Portugal"Ready for BioData Management?" Data Stewardship program for the life sciences https://biodata.pt/node/387 http://tess.elixir-uk.org/events/ready-for-biodata-management-data-stewardship-program-for-the-life-sciences BioData.pt | ELIXIR Portugal, in collaboration with several other organizations has designed a program to train the first generation of Data Stewards for the life sciences, to support the implementation of data management, open science and FAIR data principles in Portuguese R&I organizations. It will unfold from February to October 2022, allowing trainees get some practice and consolidate the acquired knowledge. It will comprise an introductory module covering the basic concepts of Data Stewardship followed by two assignments and end with a hands-on course for knowledge consolidation. 2022-02-21 09:00:00 UTC 2022-10-31 17:00:00 UTC BioData.pt | ELIXIR Portugal Online and F2F (See details in training documentation), Oeiras, Portugal Online and F2F (See details in training documentation) Oeiras Portugal FAIR data Data submission, annotation, and curation Bioinformatics Data management Biodata.pt - Elixir's portuguese node of the european projec email@example.com ELIXIR Life Science Researchers 24 workshops_and_courses registration_of_interest data managementData management plandata stewardshipdata annotationlife sciencestraining
Omics analyses: Pathways, Networks and Biomarkers
12 - 14 July 2022
Liverpool, United KingdomOmics analyses: Pathways, Networks and Biomarkers https://www.liverpool.ac.uk/computational-biology-facility/events/pathways-networks-biomarkers/ http://tess.elixir-uk.org/events/omics-analyses-pathways-networks-and-biomarkers A CBF three-day face-to-face intense course for experimental biologists and clinicians Demystify computational biology and come to learn: -Functional & pathway enrichment -In-silico biomarker discovery using multivariate methods and machine learning -Identification of transcriptional hubs & master regulators via network analysis -Best experimental design practices -Dedicated time to talk about your data and experiments Theory and practice sessions. 1-1 support. Requirements All materials have been built using relevant life sciences/clinical examples. The course has been designed for delegates with some R experience (basics). A refresher of R from beginner level is included and all relevant code will be provided such as delegates will only have to run specific scripts. Administrative details A significantly reduced access fee of £225 is available to all academic delegates. Other delegates will be quoted upon request. 2022-07-12 09:00:00 UTC 2022-07-14 17:00:00 UTC Computational Biology Facility TBC, Liverpool, United Kingdom TBC Liverpool Merseyside United Kingdom L69 7ZX Experimental design and studies Machine learning Data visualisation Bioinformatics University of Liverpool CBF@liverpool.ac.uk Liverpool Shared Research FacilitiesComputational Biology Facility Experimental Researchers 20 workshops_and_courses first_come_first_served Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterialsmachine learningExperimental designProteomicsMetabolomicstranscriptomics
WEBINAR: Getting started with whole genome mapping and variant calling on the command line
24 August 2022WEBINAR: Getting started with whole genome mapping and variant calling on the command line https://www.biocommons.org.au/events/wgs-command-line http://tess.elixir-uk.org/events/webinar-getting-started-with-whole-genome-mapping-and-variant-calling-on-the-command-line Life scientists are increasingly using whole genome sequencing (WGS) to ask and answer research questions across the tree of life. Before any of this work can be done, there is the essential but challenging task of processing raw sequencing data. Processing WGS data is a computationally challenging, multi-step process used to create a map of an individual’s genome and identify genetic variant sites. The tools you use in this process and overall workflow design can look very different for different researchers, it all depends on your dataset and the research questions you’re asking. Luckily, there are lots of existing WGS processing tools and pipelines out there, but knowing where to start and what your specific needs are is hard work, no matter how experienced you are. In this webinar we will walk through the essential steps and considerations for researchers who are running and building reproducible WGS mapping and variant calling pipelines at the command line interface. We will discuss how to choose and evaluate a pipeline that is right for your dataset and research questions, and how to get access to the compute resources you need. **Who the webinar is for** This webinar is intended for life scientists who are using and building whole genome sequencing mapping and variant calling pipelines. Some familiarity with the concepts of whole genome sequencing is recommended. **Presenter:** Dr Georgina Samaha, Sydney Informatics Hub, University of Sydney **Date/time:** 24 August 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST **How to join:** This webinar is free to join but you must register for a place in advance. **[Register here] (https://unimelb.zoom.us/webinar/register/WN_ekHib2_2QYazaH06VFMPgQ)** 2022-08-24 12:00:00 UTC 2022-08-24 13:00:00 UTC Australian BioCommons Whole genome sequencing Sequencing Genomics Bioinformatics Workflows Australian Biocommons firstname.lastname@example.org   500 workshops_and_courses first_come_first_served 
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