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Content provider
- Australian BioCommons3
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Keyword
- Bioinformatics
- Variant calling5
- bioinformatics4
- HDRUK3
- NGS bioinformatics3
- life sciences3
- DNA-seq2
- Data analysis2
- Data management plan2
- Galaxy2
- Genetic Variation2
- HPC2
- High performance computing2
- NCMAS2
- NGS2
- Python for Biologists2
- Workflows2
- data management2
- data organisation2
- licensing2
- life science standards2
- metadata2
- phylogenetics2
- storage2
- supercomputer2
- R-programming1
- RNA-Seq1
- Biological databases1
- Bisulfite-Seq1
- Cloud computing1
- Coding1
- Command line1
- Compute1
- Computer Programming1
- Containers1
- DNA Methylation1
- Data Visualization1
- Data handling1
- Data skills1
- Deep learning1
- Epigenetics1
- HTP data1
- Machine Learning and Artificial Intelligence Course1
- Managing and Processing data1
- Metabolomics1
- Phosphoproteomics1
- Phosphorylation1
- Python1
- R1
- R Studio1
- R/Bioconductor1
- Shell script1
- Tools1
- Unix/Linux1
- data collection1
- image processing1
- lifescience1
- massspectrometry1
- nanotoxicology1
- ontologies, enanomapper1
- ontology1
- research data1
- transcriptomics1
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Event type
- Workshops and courses2
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Venue
- Online1
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Country
- Australia3
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Organizer
- Australian BioCommons3
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Target audience
- Biologists
- Researchers5
- Postdoctoral researchers3
- Postgraduate students3
- bioinformaticians3
- Anyone intersted in GWAS and using the H3Africa genotyping chip2
- PhD students2
- Undergraduate students2
- Bioinformaticians1
- Bussiness Professionals1
- Clinicians1
- Companies 1
- Computational biologists1
- Computer science1
- Developers1
- Experts1
- Life Science Researchers1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- Postdoctoral students1
- Professors1
- Scientists1
- Structural biologists1
- Students and researchers from life-sciences or biomedical backgrounds1
- This course is oriented towards biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
- This training course is aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.1
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Eligibility
- First come first served3
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