Training materials
Scientific topics: Imaging or Machine learning or Metagenomics or Proteins or Sample collections or Transcriptomics
and Authors: Bérénice Batut or Liverpool Computational Biology Facility (CBF)
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hands-on tutorial
16S Microbial Analysis with mothur (extended)
• beginnerMetagenomics Microbial ecology Taxonomy Sequence analysis 16S Microbiome metabarcoding microgalaxy -
hands-on tutorial
Building an amplicon sequence variant (ASV) table from 16S data using DADA2
• beginnerMetagenomics Microbial ecology Taxonomy Sequence analysis 16S Microbiome metabarcoding microgalaxy -
hands-on tutorial
16S Microbial Analysis with mothur (short)
• beginnerMetagenomics Microbial ecology Taxonomy Sequence analysis 16S Microbiome metabarcoding microgalaxy -
hands-on tutorial
Analyses of metagenomics data - The global picture
• beginnerMetagenomics Microbial ecology Taxonomy Sequence analysis Microbiome microgalaxy -
hands-on tutorial
Metatranscriptomics analysis using microbiome RNA-seq data
• beginnerMetagenomics Microbial ecology Metatranscriptomics Taxonomy Function analysis Sequence analysis Microbiome metatranscriptomics microgalaxy -
hands-on tutorial
Metatranscriptomics analysis using microbiome RNA-seq data (short)
• beginnerMetagenomics Microbial ecology Metatranscriptomics Taxonomy Function analysis Sequence analysis Microbiome metatranscriptomics microgalaxy -
hands-on tutorial
Assembly of metagenomic sequencing data
• beginnerSequence assembly Metagenomics Assembly assembly metagenomics microgalaxy -
slides
Introduction to Transcriptomics
• beginnerTranscriptomics -
slides
Introduction to Microbiome Analysis
• beginnerMetagenomics Microbial ecology Microbiome -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning