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- Australian National University7
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- ABiMS (http://abims.sb-roscoff.fr/), AVIESAN (http://www.aviesan.fr/en), BiGEst (http://bigest.unistra.fr/), IFB (https://www.france-bioinformatique.fr/), IFB Core (https://www.france-bioinformatique.fr/), MIGALE (https://migale.inrae.fr)3
- BiGEst (http://bigest.unistra.fr/), UPR2357 (http://www.ibmp.cnrs.fr/)3
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- ELIXIR Slovenia, ELIXIR Sweden, NBIS3
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- European Joint Programme on Rare Diseases (EJP-RD), Istituto Superiore di Sanità of Italy3
- Genotoul-bioinfo (http://bioinfo.genotoul.fr/), MIAT (https://miat.inrae.fr/site/Accueil)3
- IFB Core (https://www.france-bioinformatique.fr/), IFB-core ()3
- NBIS3
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- The Center for Professional Innovation & Education3
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- The workshop is provided by ELIXIR Oslo as part of an extended event organised by Digital Scholarship Center (DSC), USIT, Carpentry@UiO, Coderefinery, dScience, Simula, Data Managers Network at UiO, ELIXIR Oslo, Norway's Reproducibility Network (norrn) and University of Oslo Library3
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- ATGC (http://www.atgc-montpellier.fr/), CNRS formation entreprises (https://cnrsformation.cnrs.fr/)2
- AuBi (https://mesocentre.uca.fr/projets-associes/plateforme-aubi), AuBi (https://mesocentre.uca.fr/projets-associes/plateforme-aubi/), Université Clermont Auvergne (https://www.uca.fr/)2
- BITS2
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- Helena Rasche (https://training.galaxyproject.org/training-material/hall-of-fame/hexylena/), Saskia Hiltemann (https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/)2
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Sponsor
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- de.NBI8
- Australian BioCommons7
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- The Carpentries6
- ELIXIR CZ5
- ELIXIR Italy5
- This course is funded as part of the UKRI Innovation Scholars. Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)5
- Avans Hogeschool4
- ELIXIR Converge4
- ELIXIR Norway4
- Erasmus Medical Center4
- H3ABioNet4
- University of Freiburg4
- Vlaams Supercomputer Centrum4
- 101100604 - DIGITAL-2022-TRAINING-023
- ABRomics3
- BePa3
- Co-funded by the European Commission3
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- IFB3
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Target audience
- Graduate students865
- Institutions and other external Institutions or individuals570
- Postdocs and Staff members from the University of Cambridge570
- PhD students343
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- Everyone is welcome to attend the courses53
- please review the policies.52
- Life Science Researchers41
- Biologists33
- as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.29
- bioinformaticians26
- This course is included as part of several DTP and MPhil programmes24
- <span style="color:#FF0000">After you have booked a place22
- if you are unable to attend any of the live sessions and would like to work in your own time22
- including for registered university students.<span style="color:#FF0000">22
- please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance22
- Beginner20
- Master students19
- post-docs17
- This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.16
- life scientists16
- It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.15
- This course is aimed at students and researchers of any background.15
- We assume no prior knowledge of what a HPC is or how to use it.15
- All postgraduates14
- PhD Students13
- mixed audience13
- Bioinformaticians and wet-lab biologists who can program12
- Students12
- Existing R users who are not familiar with dplyr and ggplot211
- Graduate Students11
- Those with programming experience in other languages that want to know what R can offer them11
- PhD candidate10
- PhD candidates9
- Professors9
- Wet-lab researchers and bioinformaticians9
- Bioinformaticians8
- Biologists, Genomicists, Computer Scientists8
- Technicians8
- data managers8
- data steward / data manager8
- postdoctoral researchers8
- Post Docs7
- Researchers who are applying or planning to apply image analysis in their research7
- The course is aimed at biologists interested in microbiology7
- This workshop is aimed at researchers interested in proteins7
- Undergraduate students7
- data stewards7
- network analysis7
- Beginners6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- Trainers6
- but who have not perhaps put this into practice since.6
- protein-protein interactions and related areas6
- researchers6
- Biologists and bioinformaticians5
- Engineers5
- Life sciences5
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.5
- Postdoctoral Fellows5
- Senior scientist/ Principal investigator5
- The course is open to Graduate students5
- This course is - in abbreviated form - included as part of several DTP and MPhil programmes5
- This course is aimed at researchers with no prior experience in phylogenetic analysis who would like an introduction to the foundations of building phylogenies from relatively small sequences (viral genomes and/or targeted regions of eukaryotic genomes).5
- Training Designers5
- Training instructors5
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.5
- project manager5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Anyone who is using sequencing as part of their work and/or research.4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.4
- Clinicians4
- DMP writers4
- Early Career Researchers (ECRs)4
- Familiarity with mass spectrometry or proteomics in general is desirable4
- Masters students4
- Molecular Biologists4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- Pathologists4
- Post docs4
- Postdoctoral Researchers4
- Postdoctoral researchers4
- Postgraduate students4
- Principal Investigators4
- Researchers who want to extract quantitative information from microscopy images4
- The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data.4
- This course is aimed at researchers with an interest in metabolomics and its applications4
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work4
- Wet-lab Researchers4
- bioinformatics and other life scientists planning to work with next-generation sequencing data.4
- database managers4
- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- prokaryotic genomics and antimicrobial resistance.4
- wet-lab scientists4
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
- Anyone who wants to become a teacher / trainer or a better one3
- Bench biologists3
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