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Content provider
- European Bioinformatics Institute (EBI)49
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Keyword
- Ensembl28
- DNA & RNA (dna-rna)27
- Ensembl Variant Effect Predictor23
- Ensembl Genomes21
- Cross domain (cross-domain)5
- Project management5
- Team building5
- Budgeting4
- Core facility services4
- Principal investigators4
- Data analysis3
- Introduction to bioinformatics3
- Introductory3
- Gene expression (gene-expression)2
- Protein Data Bank in Europe2
- genes2
- BioModels database1
- BioStudies Database1
- Bioinformatics competencies1
- Bioinformatics core facilities1
- Data management plan1
- EBI Search1
- Ensembl Genomes Plants VEP1
- European Nucleotide Archive1
- Expression Atlas1
- Finding data1
- Open access1
- Proteins (proteins)1
- UniProt: The Universal Protein Resource1
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Scientific topic
- Bioinformatics
- Genome annotation34
- Exomes30
- Genomes30
- Genomics30
- Personal genomics30
- Synthetic genomics30
- Viral genomics30
- Whole genomes30
- Protein function analysis28
- Protein function prediction28
- Active learning26
- Ensembl learning26
- Kernel methods26
- Knowledge representation26
- Machine learning26
- Neural networks26
- Protein bioinformatics26
- Protein databases26
- Protein informatics26
- Proteins26
- Recommender system26
- Reinforcement learning26
- Supervised learning26
- Unsupervised learning26
- Biomathematics23
- Computational biology23
- Mathematical biology23
- Theoretical biology23
- Biological modelling22
- Biological system modelling22
- Protein structure22
- Systems biology22
- Systems modelling22
- RNA-Seq analysis21
- Comparative transcriptomics20
- Function analysis20
- Functional analysis20
- Protein structures20
- Transcriptome20
- Transcriptomics20
- Molecular diagnostics18
- Personalised medicine18
- Precision medicine18
- Data archival16
- Data archiving16
- Data curation16
- Data curation and archival16
- Data management16
- Data preservation16
- Database curation16
- Metabolic network modelling16
- Metabolic network reconstruction16
- Metabolic network simulation16
- Metabolic pathway modelling16
- Metabolic pathway reconstruction16
- Metabolic pathway simulation16
- Metabolic reconstruction16
- Metadata management16
- Research data archiving16
- Research data management (RDM)16
- Structural assignment16
- Structural biology16
- Structural determination16
- Structure determination16
- Amino acid sequence15
- Amino acid sequences15
- Bioimaging15
- Biological imaging15
- Biological models15
- Biological networks15
- Biological pathways15
- Cellular process pathways15
- Disease pathways15
- Environmental information processing pathways15
- Gene regulatory networks15
- Genetic information processing pathways15
- Interactions15
- Interactome15
- Metabolic pathways15
- Metagenomics15
- Molecular interactions15
- Molecular interactions, pathways and networks15
- Networks15
- Omics15
- Pathways15
- Protein sequence15
- Protein sequences15
- Shotgun metagenomics15
- Signal transduction pathways15
- Signaling pathways15
- Antimicrobial stewardship14
- Chromosome walking14
- Clone verification14
- Community analysis14
- DNA-Seq14
- DNase-Seq14
- Data visualisation14
- Environmental microbiology14
- High throughput sequencing14
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Event type
- Workshops and courses49
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Target audience
- Wet-lab researchers and bioinformaticians9
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.2
- 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
- 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
- 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
- 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
- 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
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Instructor
- Aleena Mushtaq19
- Michal Szpak11
- Benjamin Moore9
- Sarah Morgan8
- Alex Bateman6
- Anna Swan6
- Lee Larcombe5
- Louisse Paola Mirabueno5
- Alexandra Holinski4
- Nikiforos Karamanis4
- Peter McQuilton4
- Baron Koylass3
- Cath Brooksbank3
- David Armstrong3
- Emily Perry3
- Fabio Madeira3
- Mohamed Alibi3
- Andrew Hercules2
- Hedi Peterson2
- Hema Bye-A-Jee2
- Jun Wang2
- Melissa Burke2
- Patricia Carvajal Lopez2
- Priit Adler2
- Sarah Butcher2
- Thomas Keane2
- Vera Matser2
- Agustin Pardo1
- Aleena Mushtaq, Michal Szpak1
- Andrew Nightingale1
- Anja Fullgrabe1
- Anne Hersey1
- Astrid Gall1
- Ben Moore1
- Birgit Meldal1
- Boris Adryan1
- Bérénice Batut1
- Cedric Notredame1
- Christine Orengo1
- Claire Rye1
- Claudio Schuster1
- Danielle Welter1
- Dario Fernández Do Porto1
- Deborah Harrus1
- Denise Carvalho-Silva1
- Dezso Modos1
- Diego Forero1
- Emily Bowler-Barnett1
- Evan Floden1
- Gilderlanio Santana de Araujo1
- Gisele Nunes Lopes1
- Guy Naamati1
- Jan Kreuze1
- Jenny Cook1
- Joannella Morales1
- John Berrisford1
- Jose Miguel Mut Lopez1
- Julia Foreman1
- Kausthubh Ramachandran1
- Krishna Tiwari1
- Laura Harris1
- Livia Perfetto1
- Marco Cristancho1
- Maria Zimmermann1
- Marta Teperek1
- Marton Olbei1
- Matthew Hall1
- Monica Abrudan1
- Nancy George1
- Nandana Madhusoodanan1
- Nidhi Bindal1
- Paolo Di Tommaso1
- Piraveen Gopalasingam1
- Preeti Choudhary1
- Priscila Born1
- Rahuman Sheriff1
- Rahuman Sheriff Malik Sheriff1
- Revathi Nathaniel1
- Sander Wuyts1
- Sarah Dyer1
- Segundo Fuentes1
- Selene L. Fernandez-Valverde1
- Simon Forbes1
- Steven Newhouse1
- Summer Rosonovski1
- Ugis Sarkans1
- Valentina Gallo1
- Virginie Uhlmann1
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