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- ELIXIR Estonia2
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- Workshops and courses2
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- Estonia2
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Target audience
- PI
- Researchers18
- Biologists17
- PhD students16
- bioinformaticians14
- Wet-lab researchers and bioinformaticians9
- Biologists, Genomicists, Computer Scientists7
- Life Science Researchers7
- Beginner6
- Bioinformaticians5
- post-docs5
- Molecular Biologists4
- Pathologists4
- Students4
- Anyone intersted in GWAS and using the H3Africa genotyping chip3
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Computational biologists3
- Master students3
- PhD candidates3
- Post Docs3
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.2
- Biologist2
- Biomedical researchers2
- Graduate Students2
- Graduate students2
- PhD Students2
- PhD and graduate students, young researchers and PIs in the life science and computational biology field2
- Postdoctoral Researchers2
- Researcher in life sciences2
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.2
- data managers2
- postdoc2
- Academia1
- All Audiences1
- Anyone who wants to learn more about GWAS1
- Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course. Though programming skills are not a prerequisite for attending the course, we will ask participants to specify their current level of programming skills in the applications. This will allow the mentors to target the group projects better to the skills and needs of the final course participants.1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Bioinformaticians and wet-lab biologists1
- Bioinformaticians and wet-lab biologists who can program in Perl.1
- Bioinformatics beginners 1
- Biophysicists1
- Biostatisticians1
- Computer science1
- Core Facility Managers1
- Data Scientists1
- DevOps in any field1
- Developers1
- ELIXIR members1
- Early Career Researchers (ECRs)1
- Experience from previous years has led to preference being given to candidates who: are doctoral candidates in the early to middle stages of their thesis research already have some familiarity with phylogenetic methods (i.e. have already used some of the relevant tools) have already collected/assembled a molecular sequence dataset to analyze in their work have experience of working in a Unix/Linux command-line environment We will also select a small number of participants that already work in bioinformatics labs, to intensify collaboration between early career stage biologists and bioinformaticians. Applicants from labs with a strong focus on computational molecular evolution methodology need to carefully outline their motivation for attending the course in this context, since they have ready access to expert supervision and are likely to be very skilled already in the topics we teach, or are in the course of becoming very skilled therein. The course is also suitable for established researchers who would like to refresh their memory of modern statistical methods for phylogenetic analysis of genomic sequence data and to interact with developers of such methods.1
- Experimental Researchers1
- HPC users1
- Industry professionals, and people with a keen interest in the subject.1
- Job seeker1
- No prior experience of bioinformatics is required, but an interest in finding out more about variation resources and an undergraduate level understanding of biology would be of benefit. This workshop will focus specifically on human variation.1
- PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
- 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, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.1
- Post-docs1
- Postdoctoral students1
- Researchers involved or embarking upon bioinformatic analysis in metagenomic projects1
- Scientists1
- Small and Medium-sized Enterprises (SMEs)1
- This course is aimed at bench biologists working in the area of discovery science who want to learn more about bioinformatics tools and resources. No prior knowledge of bioinformatics is required and no experience of programming or the use of Unix / Linux is necessary.1
- This course is aimed at both new and established investigators who lead a research team which currently uses bioinformatics, or where bioinformatics will be a component in future research. No prior knowledge of bioinformatics, or experience of analysis is required for this course.1
- This course is aimed at individuals working across biological sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their skills and knowledge further. No previous knowledge of programming / coding is required for this course.1
- This course is suitable for postgraduate (MSc-level and above) scientists within Latin America (excluding Chile and Uruguay) who are working with or generating genomic datasets related to SARS-CoV-2. Ideally, trainees will be working in the field of virology, and performing sequencing and/or analysing viral sequences, especially those within the coronaviridae family. We welcome applications from universities, research centres, hospitals, public health, and private laboratories. Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop. Please note this course will be taught in English, however the trainers are fluent in either Spanish or Portuguese and can offer language support where feasible. Attendance priority will be given to those who have not attended a CABANA event yet. Prerequisites Undergraduate-level knowledge of biology would be advantageous. You will also require access to a computer for the duration of the workshop. While most practicals are browser-based, a few will require a UNIX environment. Trainees will therefore require a basic knowledge of the Unix command line. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Training will be delivered via Zoom; trainees need to ensure they have working audio and microphones.1
- This workshop is aimed at new and experienced managers of bioinformatics core facilities, or other facilities that support their users to analyse and interpret large biomolecular data sets. This course will not provide a platform for teaching hands-on bioinformatics analysis.1
- This workshop is aimed at new and experienced managers of bioinformatics core facilities, or other facilities that support their users to analyse and interpret large biomolecular data sets. This course will not provide a platform for teaching hands-on bioinformatics analysis. 1
- This workshop is aimed at new and experienced managers of bioinformatics core facilities, or other facilities that support their users to analyse and interpret large biomolecular data sets. This course will not provide a platform for teaching hands-on bioinformatics analysis.1
- This workshop is aimed at researchers working in molecular physiology with intertests in biology, chemistry and physics. It will be useful for scientists wanting to learn more about biomolecular data resources and how bioinformatics tools can be used to learn more about the function and interactions of proteins of interest. 1
- Trainers1
- Training Designers1
- Training instructors1
- UK bioinformaticians1
- Undergraduate students1
- United kingdom1
- beginner bioinformaticians1
- data curators1
- data librarians1
- data scientists1
- engineers1
- evolutionary biologists who already have bioinformatics skills. PhD students and Post-Doc researchers will benefit the most out of this course, but applications from all candidates will be evaluated in their context1
- health professionals1
- healthcare professionals1
- life science industry1
- life scientists1
- pan-genome users1
- post-doctoral researchers and principle investigators working in wet-lab biology. Participants who are looking for a basic introduction to the bioinformatics resources offered by the EMBL-EBI and want to know more about accessing biological data and tools.1
- postdocs.1
- postdoctoral researchers1
- research software engineers and research data managers working with ELIXIR-supported tools and resources1
- researchers1
- software developers, bioinformaticians1
- teachers1
- tool developers1
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