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Scientific topic
- Drug design1
- Medicinal chemistry1
- Protein interaction map1
- Protein interaction networks1
- Protein interactions1
- Protein interactome1
- Protein-DNA interaction1
- Protein-DNA interactions1
- Protein-RNA interaction1
- Protein-RNA interactions1
- Protein-ligand interactions1
- Protein-nucleic acid interactions1
- Protein-protein interactions1
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Event type
- Workshops and courses1
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Country
- Italy1
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Sponsor
- ELIXIR Italy1
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Target audience
- Structural biologists
- Graduate students85
- Institutions and other external Institutions or individuals85
- Postdocs and Staff members from the University of Cambridge85
- Postdoctoral Researchers4
- Researchers4
- Bioinformaticians3
- Life Science Researchers3
- PhD students3
- Researchers who are applying or planning to apply image analysis in their research3
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics3
- Wet-lab Researchers3
- but who have not perhaps put this into practice since.3
- Academics2
- Bioinformaticians and wet-lab biologists who can program2
- Existing R users who are not familiar with dplyr and ggplot22
- Industry2
- PhD Students2
- Principal Investigators2
- The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape2
- This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA2
- This workshop is aimed at researchers who are looking for an overview of the bioinformatics resources provided by EMBL-EBI2
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work2
- This workshop is aimed at researchers who want to learn about pathways or identify pathways relevant to a set of molecules2
- This workshop is aimed at researchers who wish to understand why data standards are important and how they can be used in practice2
- This workshop is aimed at researchers who wish to use and submit functional genomics data. This workshop will not however cover the analysis of such data.2
- This workshop is aimed at students on the Rare Diseases and Experimental Medicine MPhil courses at the University of Cambridge. Students from the wider clinical sciences group are also able to attend subject to space being available.2
- Those with programming experience in other languages that want to know what R can offer them2
- bioinformaticians2
- protein-DNA and protein-small molecular interactions.2
- All postgraduates1
- Any students, postdocs or RAs with an interest in HPC1
- Bench biologists1
- Bioinformaticians and wet-lab biologists1
- Bussiness Professionals1
- Cloud users1
- Computational biologists1
- Core Facility Managers1
- Experimental Researchers1
- Experts1
- Galaxy users1
- Graduate Students1
- Participants are expected to be familiar with Linux and scripting1
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- PhD students, computer scientists, bioinformaticians and developers who need to maintain/extend existing tools or develop new tools for Galaxy. 1
- PhD's1
- Post-Docs1
- Postdoctoral students1
- Professors1
- Research Assistants and Research Associates1
- Researchers involved or embarking upon bioinformatic analysis in metagenomic projects1
- Researchers with an interest in metabolomics and its applications1
- Scientists1
- The course is aimed at bench biologists who need to analyse their own data against large biological datasets1
- The course is recommended for all staff and students who use light sheet microscopy in their research and would like to develop more advanced image processing skills.1
- This course is aimed at researchers with an interest in metabolomics and its applications1
- This introductory course is aimed at biologists with little or no experience in machine learning.1
- This is an advanced course1
- This workshop is aimed at researchers who want to learn more about the UniProt resources1
- This workshop is aimed at those who want to explore genetic variation data.1
- This workshop is for anyone who works with mice1
- although the webservices will not be covered in detail.1
- biological data analysts1
- biological process or function. The course may also be of interest to bioinformaticians who wish to familiarise themselves with the InterMine suite of databases1
- biologists who have more data than they can manage in a spreadsheet1
- but want to develop the necessary skills to perform analysis and gain experience using R.1
- designed for those with some basic experience of image processing.1
- or who need to search against several biological datasets to gain knowledge of a gene/gene set1
- other model organisms1
- software engineers1
- studies human diseases or developmental biology1
- who have had minimal exposure to statistical methods and/or software1
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Eligibility
- First come first served1
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