- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Genomics
- Active learning2
- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Unsupervised learning2
- Algorithms1
- Bioinformatics1
- Computer programming1
- Data structures1
- Exomes1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Genome annotation1
- Genomes1
- Personal genomics1
- Programming languages1
- Software development1
- Software engineering1
- Synthetic genomics1
- Viral genomics1
- Whole genomes1
- Show N_FILTERS more
-
-
-
Tool
- SRA1
- Show N_FILTERS more
-
-
-
Content provider
- Cloud-SPAN1
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner1
- Show N_FILTERS more
-
-
-
Target audience
- Post Docs
- Students19
- Researchers6
- Clinicians5
- PhD students5
- Biologists4
- Bioinformatician2
- Bioinformaticians2
- Clinical Scientists2
- Graduate students2
- Life Science Researchers2
- PhD Students2
- life scientists2
- Bioinformatician, Bioanalysts1
- Biologists, Genomicists, Computer Scientists1
- Data Access Committeses from the EGA1
- Data Managers1
- Data Scientists1
- Data stewards1
- Life Scientists1
- Master students1
- Microbiologists1
- PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
- PhD candidates1
- PhD students in Genomics datascience1
- Post docs1
- Postgraduate students1
- Principal Investigators1
- Principal Investigators (PIs)1
- Professors1
- Public Health Professionals1
- Researchers and bioinformaticians in other projects interested in depositiong data at the EGA1
- Researchers and bioinformaticians involved in the VEIS project1
- Scientists1
- Students, postdocs, and researchers, from any scientific environment (academia, facilities, companies, etc.) interested in viral data, as well as anyone looking for virion and viral genome images for use in teaching or publications.1
- beginner bioinformaticians1
- clinicians and informaticians interested in cancer genetics1
- Show N_FILTERS more
-
-
-
Status
- Active1
- Show N_FILTERS more
-
- Hide disabled materials
- Show archived materials