- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- European Bioinformatics Institute (EBI)9
- Show N_FILTERS more
-
-
-
Keyword
- UniProt: The Universal Protein Resource5
- Proteins (proteins)4
- PRIDE: The Proteomics Identifications Database3
- IntAct Molecular Interaction Database2
- Reactome pathways database2
- BioImage Archive1
- COVID-191
- Ensembl Plants1
- European Nucleotide Archive1
- European Variation Archive1
- Expression Atlas1
- Germinate1
- Gramene1
- InterPro1
- MGnify1
- Mass spectrometry1
- MetaboLights: Metabolomics repository and reference database1
- Programmatic access1
- Protein annotation1
- Protein families1
- Protein function1
- Protein functional analysis1
- Protein sequences1
- Quantitative proteomics1
- SARS-CoV-21
- UniProtKB1
- mass spectrometry1
- protein annotation1
- protein function1
- proteomics1
- quantitative proteomics1
- Show N_FILTERS more
-
-
-
Scientific topic
- Bioinformatics50
- Genome annotation29
- Exomes26
- Genomes26
- Genomics26
- Personal genomics26
- Synthetic genomics26
- Viral genomics26
- Whole genomes26
- Protein bioinformatics24
- Protein databases24
- Protein informatics24
- Proteins24
- Biomathematics23
- Computational biology23
- Mathematical biology23
- Theoretical biology23
- Protein structure20
- Protein function analysis19
- Protein function prediction19
- Molecular diagnostics18
- Personalised medicine18
- Precision medicine18
- Protein structures18
- Biological modelling17
- Biological system modelling17
- Systems biology17
- Systems modelling17
- Metabolic network modelling16
- Metabolic network reconstruction16
- Metabolic network simulation16
- Metabolic pathway modelling16
- Metabolic pathway reconstruction16
- Metabolic pathway simulation16
- Metabolic reconstruction16
- Omics15
- RNA-Seq analysis15
- Active learning14
- Biological models14
- Biological networks14
- Biological pathways14
- Cellular process pathways14
- Chromosome walking14
- Clone verification14
- Community analysis14
- DNA-Seq14
- DNase-Seq14
- Disease pathways14
- Ensembl learning14
- Environmental information processing pathways14
- Environmental microbiology14
- Function analysis14
- Functional analysis14
- Gene regulatory networks14
- Genetic information processing pathways14
- High throughput sequencing14
- High-throughput sequencing14
- Interactions14
- Interactome14
- Kernel methods14
- Knowledge representation14
- Machine learning14
- Metabolic pathways14
- Metagenomics14
- Microbial ecology14
- Microbiome14
- Molecular community analysis14
- Molecular interactions14
- Molecular interactions, pathways and networks14
- NGS14
- NGS data analysis14
- Networks14
- Neural networks14
- Next gen sequencing14
- Next generation sequencing14
- Panels14
- Pathways14
- Primer walking14
- Recommender system14
- Reinforcement learning14
- Sanger sequencing14
- Sequencing14
- Shotgun metagenomics14
- Signal transduction pathways14
- Signaling pathways14
- Supervised learning14
- Targeted next-generation sequencing panels14
- Unsupervised learning14
- Comparative transcriptomics13
- Data archival13
- Data archiving13
- Data curation13
- Data curation and archival13
- Data preservation13
- Data visualisation13
- Database curation13
- Research data archiving13
- Transcriptome13
- Transcriptomics13
- Antimicrobial stewardship12
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses9
- Show N_FILTERS more
-
-
-
Country
- United Kingdom3
- Show N_FILTERS more
-
-
-
Target audience
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields. The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra to identifying and quantify peptides and finally to obtain lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data when collected.1
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields. The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra to identifying and quantifying peptides, and finally to obtaining lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data when collected.1
- The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields. The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra, to identifying peptides and finally to lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data once it has been generated.1
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events