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Content provider
- European Bioinformatics Institute (EBI)7
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Keyword
- BioModels database2
- IntAct Molecular Interaction Database2
- Logic modelling2
- Pathway enrichment analysis2
- Reactome Pathways Analysis2
- Spatial modelling2
- Systems (systems)2
- COBREXA1
- CellNOpt1
- Data integration1
- Data protection1
- GPU1
- HPC1
- High Performance Computing1
- MaBoSS1
- Mathematical modelling1
- PhysiBoSS1
- PhysiCell1
- Plant webinar series1
- plant science1
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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 learning27
- Ensembl learning27
- Kernel methods27
- Knowledge representation27
- Machine learning27
- Neural networks27
- Recommender system27
- Reinforcement learning27
- Supervised learning27
- Unsupervised learning27
- Protein bioinformatics26
- Protein databases26
- Protein informatics26
- Proteins26
- Biomathematics23
- Computational biology23
- Mathematical biology23
- Protein structure23
- Theoretical biology23
- Biological modelling22
- Biological system modelling22
- Systems biology22
- Systems modelling22
- Protein structures21
- RNA-Seq analysis21
- Comparative transcriptomics20
- Function analysis20
- Functional analysis20
- Transcriptome20
- Transcriptomics20
- Molecular diagnostics18
- Personalised medicine18
- Precision medicine18
- Structural assignment17
- Structural biology17
- Structural determination17
- Structure determination17
- Amino acid sequence16
- Amino acid sequences16
- 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
- Protein sequence16
- Protein sequences16
- Research data archiving16
- Research data management (RDM)16
- 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
- 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 courses7
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Target audience
- Participants from both experimental and theoretical backgrounds would benefit from this workshop.1
- The workshop is open to postdocs in Cambridge, including candidates from University and affiliated institutions1
- 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
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Instructor
- Rahuman Sheriff4
- Alexandra Holinski2
- Krishna Kumar Tiwari2
- Lutz Brusch2
- Thawfeek Mohamed Varusai2
- Tomas Helikar2
- Alfonso Martinez Arias1
- Alfonso Martinez-Arias1
- Andreas Dräger1
- Arnau Montagud1
- Birgit Meldal1
- Carmen Pin1
- Davide Cirillo1
- Dayane Rodrigues Araujo1
- Diego Jahn1
- Dénes Türei1
- Eliot Rageneau1
- Elisa Passini1
- Eva Geissen1
- Gaurhari Dass1
- Henning Hermjakob1
- Henrik Nortamo1
- James Yates1
- Javier Conejero1
- Joaquín Dopazo1
- John Fozard1
- Jörn Starruß1
- Kalpana Panneerselvam1
- Kausthubh Ramachandran1
- Marco Ruscone1
- Miguel Ponce de León1
- Pablo Porras Millan1
- Pablo Rodríguez Mier1
- Rea Antoniou-Kourounioti1
- Rea Laila Antoniou-Kourounioti1
- Robert Mueller1
- Sara-Jane Dunn1
- Thalia Diniaco1
- Thawfeek Varusai1
- Ugis Sarkans1
- Vincent Noël1
- Åsmund Flobak1
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