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WORKSHOP: Nextflow for the life sciences
Bioinformatics http://edamontology.org/topic_0091 Analysis http://edamontology.org/operation_2945 Workflows Nextflow -
WEBINAR: Getting started with command line bioinformatics
Computational biology Command line -
WORKSHOP: Variant calling in humans, animals and plants with Galaxy
Genetic variation Variant calling -
WEBINAR: Detection of and phasing of hybrid accessions in a target capture dataset
Phylogenetics Phylogeny -
WEBINAR: Getting started with deep learning
Machine learning Deep learning -
WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
Proteomics Protein modifications Phosphoproteomics -
WEBINAR: Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation
Phylogenetics -
Presentation
Make your computational workflows findable and citable: WorkflowHub BYOW workshop
Workflows WorkflowHub FAIR -
WORKSHOP: Introduction to Metabarcoding using QIIME2
Bioinformatics Analysis Workflows Microbial ecology Metabarcoding Microbiome -
WORKSHOP: Online data analysis for biologists
Bioinformatics Analysis Workflows Galaxy Australia -
WORKSHOP: Make your bioinformatics workflows findable and citable
Bioinformatics Workflows WorkflowHub FAIR Open Science -
WEBINAR: KBase - A knowledge base for systems biology
Systems Biology FAIR Research Open Source Software Metagenomics Microbiology -
WEBINAR: Establishing Gen3 to enable better human genome data sharing in Australia
Bioinformatics Genomics Human genomics Digital infrastructure Gen3 Data sharing Data management -
WORKSHOP: Machine learning in the life sciences
Bioinformatics Life Science Machine Learning -
WORKSHOP: Unlocking nf-core - customising workflows for your research
Bioinformatics Workflows Nextflow nf-core -
WORKSHOP: RNA-Seq: reads to differential genes and pathways
Bioinformatics Analysis Transcriptomics RNA-seq Workflows Nextflow nf-co.re -
WEBINAR: Getting started with command line bioinformatics
Bioinformatics Command line Workflows Bash Computational biology -
WEBINAR: Here's one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia
Bioinformatics Workflows FAIR Galaxy Australia -
WORKSHOP: Hybrid de novo genome assembly
Galaxy Australia Bioinformatics Analysis Workflows Genomics Genome assembly De novo assembly -
WEBINAR: Making sense of phosphoproteomics data with Phosphomatics
Phosphoproteomics Proteomics Mass spectrometry -
WEBINAR: Conflict in multi-gene datasets: why it happens and what to do about it - deep coalescence, paralogy and reticulation
Phylogenetics Bioinformatics Phylogeny Genomics Target capture sequencing -
WEBINAR: Variant interpretation: from the clinic to the lab… and back again
Clinical genomics Variant interpretation Variant curation Continuing Professional Development Professional Development Bioinformatics Genomics Variant calling -
WEBINAR: Protection of genomic data and the Australian Privacy Act: when is genomic data 'personal information'?
Bioinformatics Genomics Genetic data Personal information Health information Privacy -
WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights
Bioinformatics Transcriptomics RNA-seq RNAseq Gene expression -
WEBINAR: DOME - Machine Learning Best Practices & Recommendations
Bioinformatics http://edamontology.org/topic_0091 Machine Learning http://edamontology.org/topic_3474 -
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge
Bioinformatics Machine Learning -
WORKSHOP SERIES: Submitting sequencing data and genome assemblies to the European Nucleotide Archive
Bioinformatics Data submission FAIR Genomics eDNA metagenomics Genome assembly and annotation -
WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share
Bioinformatics Computational biology Computational infrastructure -
WEBINAR: What exactly is bioinformatics?
Bioinformatics -
WEBINAR: Using AI protein design to design binding proteins to challenging bacterial transporters
Bioinformatics Structural biology Deep learning Protein design
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