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Content provider
- European Bioinformatics Institute (EBI)10
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Keyword
- Logic modelling5
- Data integration3
- Deep learning3
- IntAct Molecular Interaction Database3
- Multi-Omics Factor Analysis3
- Network inference3
- BioModels database2
- MOFA2
- Pathway enrichment analysis2
- Reactome Pathways Analysis2
- Spatial modelling2
- Systems (systems)2
- Biological networks1
- Building biological networks1
- COBREXA1
- CellNOpt1
- Cross domain (cross-domain)1
- Cytoscape1
- Data analysis1
- Data management1
- Genetic variation1
- Graph theory1
- HPC1
- High Performance Computing1
- IMEx1
- Introduction to bioinformatics1
- MaBoSS1
- Modelling1
- PSICQUIC1
- PhysiBoSS1
- PhysiCell1
- Protein structures1
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Scientific topic
- Bioinformatics49
- 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
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- Biological models15
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- Cellular process pathways15
- Disease pathways15
- Environmental information processing pathways15
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- Molecular interactions, pathways and networks15
- Networks15
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- 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 courses10
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Country
- United Kingdom4
- Spain1
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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
- Alex Bateman2
- Anna Swan2
- Baron Koylass2
- Birgit Meldal2
- Dayane Rodrigues Araujo2
- Hedi Peterson2
- Kalpana Panneerselvam2
- Kausthubh Ramachandran2
- Krishna Kumar Tiwari2
- Lee Larcombe2
- Lutz Brusch2
- Priit Adler2
- Tomas Helikar2
- Alfonso Martinez Arias1
- Alfonso Martinez-Arias1
- Amanda M. Saravia-Butler1
- Andreas Dräger1
- Arnau Montagud1
- Aybuke Kupcu Yoldas1
- Boris Adryan1
- Carmen Pin1
- David Armstrong1
- Davide Cirillo1
- Diego Jahn1
- Dénes Türei1
- Eliot Rageneau1
- Elisa Passini1
- Eva Geissen1
- Gaurhari Dass1
- Hema Bye-A-Jee1
- Henrik Nortamo1
- James Yates1
- Javier Conejero1
- John Berrisford1
- Jörn Starruß1
- Krishna Tiwari1
- Livia Perfetto1
- Loïc Lannelongue1
- Marco Ruscone1
- Marcus Bage1
- Maria Zimmermann1
- Michal Szpak1
- Miguel Ponce de León1
- Monica Abrudan1
- Nikiforos Karamanis1
- Pablo Porras Millan1
- Pablo Rodríguez Mier1
- Patricia Carvajal Lopez1
- Peter McQuilton1
- Preeti Choudhary1
- Rahuman Sheriff Malik Sheriff1
- Rea Antoniou-Kourounioti1
- Robert Mueller1
- Sander Wuyts1
- Sara-Jane Dunn1
- Sarah Morgan1
- Selene L. Fernandez-Valverde1
- Teresa Zulueta-Coarasa1
- Thalia Diniaco1
- Thawfeek Mohamed Varusai1
- Thawfeek Varusai1
- Ugis Sarkans1
- Vincent Noël1
- Åsmund Flobak1
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