Showing 30 materials out of 65
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WEBINAR: Getting started with command line bioinformatics
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WORKSHOP: Variant calling in humans, animals and plants with Galaxy
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WEBINAR: Detection of and phasing of hybrid accessions in a target capture dataset
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WEBINAR: Getting started with deep learning
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WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
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WEBINAR: Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation
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WORKSHOP: RNAseq: reads to differential expression
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WEBINAR: Multivariate integration of multi-omics data with mixOmics
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WEBINAR: Portable, reproducible and scalable bioinformatics workflows using Nextflow and Pawsey Nimbus Cloud
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WORKSHOP: Introduction to Metabarcoding using QIIME2
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WEBINAR AND PANEL DISCUSSION: Sustainability of biodata resources
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WORKSHOP: Unlocking nf-core - customising workflows for your research
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WEBINAR: Making sense of gene and protein lists with functional enrichment analysis
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WEBINAR: Getting started with command line bioinformatics
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WEBINAR: A practical guide to AI tools for life scientists
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WEBINAR: MetaboLights: the home for metabolomics experiments and derived information
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WEBINAR: MaveDB: discovery and interpretation of high-throughput functional assay data
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WEBINAR: BioSamples: supporting multi-omics data integration with FAIR sample records
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WORKSHOP: R: fundamental skills for biologists
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WEBINAR: AlphaFold: what's in it for me?
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WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
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WEBINAR: Conservation genomics in the age of extinction
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WORKSHOP: Online data analysis for biologists
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WEBINAR: High performance bioinformatics: submitting your best NCMAS application
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WORKSHOP: Machine learning in the life sciences
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WEBINAR: No code, no problem - data analysis for biologists with Galaxy Australia
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WEBINAR: Getting started with deep learning
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WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
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WORKSHOP: Variant calling in humans, animals and plants with Galaxy
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WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights
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