Training materials
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Tutorial, Training materials, Bioinformatics
How to use REPET software for de novo annotation of transposable elements in genomes
• beginnerGenomics Structural variation Bioinformatics Genome annotation Sequence classification Transposons Annotation Pipelines Docker -
Applied-Genomics-UTD/docs
ChIP-seq Epigenetics Genomics RNA-Seq Galaxy Snakemake Reproducibility Unix/Linux ATAC-seq RNA-seq
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stephenturner/workshops
Data visualisation R markdown Genomics RNA-Seq Statistics and probability General Data visualization R Rmarkdown RNA-seq Data science Statistics
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genome/bfx-workshop
Workflows Data visualisation ChIP-seq Epigenetics Genomics Metagenomics Sequencing RNA-Seq Variant pattern analysis Docker Data visualization Python R Unix/Linux ATAC-seq Next generation sequencing RNA-seq Single-cell sequencing Variant analysis Long read sequencing
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Functional-Genomics-Lab/Applied-Genomics
ChIP-seq Epigenetics Genomics RNA-Seq Variant pattern analysis Containerization High performance computing Nextflow Singularity Reproducibility Unix/Linux Version control RNA-seq Variant analysis Julia
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GTPB/ELB19F
Genomics Sequencing RNA-Seq Transcriptomics Next generation sequencing RNA-seq
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KatharinaHoff/BRAKER-TSEBRA-Workshop
Genome annotation Genomics RNA-Seq Transcriptomics RNA-seq
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melbournebioinformatics/MelBioInf_docs
Data management Genomics RNA-Seq Transcriptomics General Unix/Linux Version control RNA-seq
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galaxyproject/training-material
Data management FAIR data ChIP-seq Comparative genomics Epigenetics Genome annotation Genome assembly Genomics Metagenomics Microbiology Sequencing RNA-Seq Transcriptomics Variant pattern analysis Machine learning Statistics and probability Metabolomics Proteomics Galaxy Snakemake General Reproducibility Python R Unix/Linux Version control ATAC-seq Next generation sequencing RNA-seq Single-cell sequencing Variant analysis Data science Statistics Long read sequencing
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Jan Pačes - SARS-CoV-2: Lectures from Evolutionary Biology
Genomics covid19 evolution