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Content provider
- European Bioinformatics Institute (EBI)5
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Keyword
- IntAct Molecular Interaction Database3
- BioModels database2
- Logic modelling2
- Pathway enrichment analysis2
- Reactome Pathways Analysis2
- Spatial modelling2
- Systems (systems)2
- Biological networks1
- Building biological networks1
- Cross domain (cross-domain)1
- Cytoscape1
- Data analysis1
- Graph theory1
- IMEx1
- Introduction to bioinformatics1
- PSICQUIC1
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Scientific topic
- Bioinformatics76
- Data management67
- Metadata management67
- Research data management (RDM)67
- Genome annotation45
- Exomes42
- Genomes42
- Genomics42
- Personal genomics42
- Synthetic genomics42
- Viral genomics42
- Whole genomes42
- Active learning29
- Data archival29
- Data archiving29
- Data curation29
- Data curation and archival29
- Data preservation29
- Database curation29
- Ensembl learning29
- Kernel methods29
- Knowledge representation29
- Machine learning29
- Neural networks29
- Recommender system29
- Reinforcement learning29
- Research data archiving29
- Supervised learning29
- Unsupervised learning29
- Biomathematics27
- Computational biology27
- Mathematical biology27
- Theoretical biology27
- FAIR data26
- Findable, accessible, interoperable, reusable data26
- Protein function analysis26
- Protein function prediction26
- Pipelines25
- Software integration25
- Tool integration25
- Tool interoperability25
- Workflows25
- Antimicrobial stewardship24
- Medical microbiology24
- Microbial genetics24
- Microbial physiology24
- Microbial surveillance24
- Microbiological surveillance24
- Microbiology24
- Molecular infection biology24
- Molecular microbiology24
- Protein bioinformatics24
- Protein databases24
- Protein informatics24
- Protein structure24
- Proteins24
- RNA-Seq analysis24
- Comparative transcriptomics22
- Transcriptome22
- Transcriptomics22
- Protein structures20
- Molecular diagnostics19
- Personalised medicine19
- Precision medicine19
- Community analysis18
- Environmental microbiology18
- Function analysis18
- Functional analysis18
- Microbial ecology18
- Microbiome18
- Molecular community analysis18
- DNA variation17
- Genetic variation17
- Genomic variation17
- Mutation17
- Polymorphism17
- Somatic mutations17
- Data visualisation16
- MicroRNA sequencing16
- RNA sequencing16
- RNA-Seq16
- Small RNA sequencing16
- Small RNA-Seq16
- Small-Seq16
- Transcriptome profiling16
- WTSS16
- Whole transcriptome shotgun sequencing16
- miRNA-seq16
- Bioimaging15
- Biological imaging15
- Exometabolomics15
- LC-MS-based metabolomics15
- MS-based metabolomics15
- MS-based targeted metabolomics15
- MS-based untargeted metabolomics15
- Mass spectrometry-based metabolomics15
- Metabolites15
- Metabolome15
- Metabolomics15
- Metabonomics15
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Event type
- Workshops and courses5
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Venue
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Target audience
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. A working knowledge of the Linux operating system and ability to use the command line or experience of using a programming language (e.g Python) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
- This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 1
- 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.1
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Instructor
- Alexandra Holinski3
- Rahuman Sheriff3
- Birgit Meldal2
- Kalpana Panneerselvam2
- Kausthubh Ramachandran2
- Lutz Brusch2
- Tomas Helikar2
- Alex Bateman1
- Alfonso Martinez Arias1
- Alfonso Martinez-Arias1
- Andreas Dräger1
- Anna Swan1
- Baron Koylass1
- Boris Adryan1
- Carmen Pin1
- David Armstrong1
- Dayane Rodrigues Araujo1
- Diego Jahn1
- Eliot Rageneau1
- Elisa Passini1
- Eva Geissen1
- Gaurhari Dass1
- Hedi Peterson1
- Hema Bye-A-Jee1
- James Yates1
- John Berrisford1
- Jörn Starruß1
- Krishna Kumar Tiwari1
- Krishna Tiwari1
- Lee Larcombe1
- Livia Perfetto1
- Maria Zimmermann1
- Michal Szpak1
- Monica Abrudan1
- Nikiforos Karamanis1
- Pablo Porras Millan1
- Patricia Carvajal Lopez1
- Peter McQuilton1
- Priit Adler1
- Rea Antoniou-Kourounioti1
- Robert Mueller1
- Sander Wuyts1
- Sara-Jane Dunn1
- Sarah Morgan1
- Selene L. Fernandez-Valverde1
- Thawfeek Mohamed Varusai1
- Thawfeek Varusai1
- Ugis Sarkans1
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