- Home
- Events
Filters
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- European Bioinformatics Institute (EBI)174
- Show N_FILTERS more
-
-
-
Keyword
- Proteins (proteins)63
- Europe PubMed Central46
- UniProt: The Universal Protein Resource46
- API44
- Programmatic access44
- Literature (literature)42
- Ensembl40
- Protein Data Bank in Europe37
- Cross domain (cross-domain)36
- Open access36
- DNA & RNA (dna-rna)35
- InterPro35
- Gene expression (gene-expression)34
- AlphaFold Database33
- Plant webinar series33
- Data management32
- EOSC-Life32
- IntAct Molecular Interaction Database32
- UniProtKB32
- ChEMBL: Bioactive data for drug discovery31
- Complex Portal31
- Drug targets31
- EVA31
- Ensembl Genomes31
- European Variation Archive31
- MetaboLights: Metabolomics repository and reference database31
- NHGRI-EBI GWAS Catalog31
- Plant research31
- Biocurator30
- Data integration30
- Deep phenotyping30
- European Nucleotide Archive30
- FAIR30
- HPC30
- IMEx30
- Machine learning30
- Mathematical modelling30
- Metabolites30
- Open Targets Platform30
- PSICQUIC30
- Phenotyping30
- Raw sequencing data30
- Spatial transcriptomics30
- Virtual humans30
- clinical data30
- field phenotyping30
- genome-wide association30
- plant science30
- plant-environment interaction30
- plant-microbe interactions30
- 3D structure29
- AI29
- ARBA29
- Abiotic stress29
- Accessibility29
- Agent-based modelling29
- Artificial intelligence29
- BioModels database29
- Bioethics29
- Bioimage analysis resource29
- Biostatistics29
- Boolean29
- Building blocks29
- COSMIC29
- Cancer mutation29
- ChEBI29
- Chemical Entities of Biological Interest29
- Chemical biology (chemical-biology)29
- Complex portal29
- Constraint-based metabolic modelling29
- Crop improvement29
- Data analysis29
- Data archive29
- Data protection29
- Data standards29
- DeepMind29
- Drug-target identification29
- ELSI29
- European Genome-phenome Archive29
- Expression Atlas29
- FAIR principles29
- Flowering plants29
- GPU29
- HCA data portal29
- Human Cell Atlas Data Coordination Platform29
- Hyb-Seq method29
- Infernal software29
- Job dispatcher29
- Macrophages29
- Mathematical modeling29
- Missense variation29
- Molecular building blocks of life29
- Non-coding RNA29
- On-demand29
- Open data29
- Pangenomes29
- Pangenomics29
- Plant breeding29
- Plant database29
- Plant genotype29
- Show N_FILTERS more
-
-
-
Scientific topic
- Protein bioinformatics17
- Protein databases17
- Protein informatics17
- Proteins17
- Biomathematics11
- Computational biology11
- Data curation11
- Database curation11
- Mathematical biology11
- Theoretical biology11
- Data archival10
- Data archiving10
- Data curation and archival10
- Data preservation10
- Literature search10
- Molecular diagnostics10
- Personalised medicine10
- Precision medicine10
- Research data archiving10
- Bibliography9
- Citations9
- Documentation9
- Language9
- Literature9
- Literature and language9
- Protein structure9
- References9
- Scientific literature9
- Protein function analysis8
- Protein function prediction8
- Protein structures8
- Biological modelling6
- Biological system modelling6
- Drug discovery6
- Function analysis6
- Functional analysis6
- Metabolic network modelling6
- Metabolic network reconstruction6
- Metabolic network simulation6
- Metabolic pathway modelling6
- Metabolic pathway reconstruction6
- Metabolic pathway simulation6
- Metabolic reconstruction6
- Systems biology6
- Systems modelling6
- Database search5
- Literature mining5
- Search5
- Text analytics5
- Text data mining5
- Text mining5
- Amino acid sequence4
- Amino acid sequences4
- Bioinformatics4
- Genome annotation4
- Genome browser4
- Genome browsing4
- Genome rendering4
- Genome viewing4
- Genome visualisation4
- Phenotype4
- Protein domain4
- Protein sequence4
- Protein sequence alignment analysis4
- Protein sequence analysis4
- Protein sequences4
- Sequence alignment analysis (protein)4
- Sequence analysis (protein)4
- Simulation experiment4
- Algorithms3
- Amino acids3
- Annotation3
- Biomolecular structure3
- Botany3
- Bottom-up proteomics3
- Cancer3
- Cancer biology3
- Chemical biology3
- Chemical structures3
- Community analysis3
- Computational structural biology3
- Computer programming3
- Content management3
- DNA variation3
- Data clean-up3
- Data cleaning3
- Data integrity3
- Data management3
- Data quality3
- Data quality management3
- Data structures3
- Data visualisation3
- Database hits (sequence)3
- Database management3
- Discovery proteomics3
- Document management3
- Drug structures3
- Drug targets3
- Drugs and target structures3
- Educational material3
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses174
- Show N_FILTERS more
-
-
-
Target audience
- Plant research
- Graduate students768
- Postdocs and Staff members from the University of Cambridge489
- Institutions and other external Institutions or individuals486
- PhD students359
- Academics293
- Industry291
- PhD283
- Researchers78
- Life Science Researchers40
- Biologists35
- bioinformaticians35
- Master students18
- post-docs18
- life scientists17
- mixed audience15
- PhD Students14
- Graduate Students13
- This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.13
- as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.12
- Biologists, Genomicists, Computer Scientists11
- Existing R users who are not familiar with dplyr and ggplot211
- Professors11
- Technicians11
- This course is included as part of several DTP and MPhil programmes11
- Those with programming experience in other languages that want to know what R can offer them11
- All postgraduates9
- Bioinformaticians9
- Bioinformaticians and wet-lab biologists who can program9
- PhD candidates9
- Wet-lab researchers and bioinformaticians 9
- PhD candidate8
- Undergraduate students8
- data steward / data manager8
- data stewards8
- postdoctoral researchers8
- Researchers who are applying or planning to apply image analysis in their research7
- postdocs7
- Post Docs6
- Postgraduate students6
- Senior scientist/ Principal investigator6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- but who have not perhaps put this into practice since.6
- data managers6
- Clinicians5
- It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.5
- Life sciences5
- Postdoctoral Researchers5
- Postdoctoral researchers5
- The course is open to Graduate students5
- This course is aimed at students and researchers of any background.5
- Trainers5
- We assume no prior knowledge of what a HPC is or how to use it.5
- software developers, bioinformaticians5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R. 4
- Biomedical researchers4
- Clinical Scientists4
- Molecular Biologists4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- Pathologists4
- Research presentation4
- Researchers who want to extract quantitative information from microscopy images4
- This course is aimed at researchers with an interest in metabolomics and its applications4
- This workshop is aimed at researchers interested in proteins4
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work4
- Wet-lab Researchers4
- beginner bioinformaticians4
- data manager4
- database managers4
- network analysis4
- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- protein-protein interactions and related areas4
- health professionals3
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
- Anyone who wants to become a teacher / trainer or a better one3
- Beginner3
- Beginners3
- Bench biologists3
- Bioinformaticians and wet-lab biologists who can program in Python or R. 3
- Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.3
- Computational biologists3
- Core Facility Managers3
- Developers3
- Early Career Researcher3
- Evolutionary Biologists3
- Institutions and other external Institutions or individuals.3
- Intermediate3
- Masters students3
- Medical Device3
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 3
- Post-Docs3
- Scientists3
- Students and researchers from life-sciences or biomedical backgrounds3
- The course is aimed at <b>bench biologists and bioinformaticians</b> who need to analyse their own data against large biological datasets3
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape3
- This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system. 3
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA3
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events