Training materials
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fhdsl/Choosing_Genomics_Tools
ChIP-seq Epigenetics Genome annotation Genomics Sequencing RNA-Seq Single-cell sequencing Transcriptomics Variant pattern analysis ATAC-seq Next generation sequencing RNA-seq Spatial transcriptomics Variant analysis
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gladstone-institutes/Bioinformatics-Workshops
Epigenetics Sequencing RNA-Seq General R Unix/Linux ATAC-seq Next generation sequencing RNA-seq
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Applied-Genomics-UTD/docs
ChIP-seq Epigenetics Genomics RNA-Seq Galaxy Snakemake Reproducibility Unix/Linux ATAC-seq RNA-seq
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genome/bfx-workshop
Workflows Data visualisation ChIP-seq Epigenetics Genomics Metagenomics Sequencing RNA-Seq Single-cell sequencing Variant pattern analysis Docker Data visualization Python R Unix/Linux ATAC-seq Next generation sequencing RNA-seq 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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ISUgenomics/bioinformatics-workbook
Workflows Data management Data visualisation Comparative genomics Epigenetics Genome annotation Genome assembly Metagenomics RNA-Seq Transcriptomics Variant pattern analysis Nextflow General Data visualization Unix/Linux ATAC-seq RNA-seq Variant analysis
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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 Single-cell sequencing 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 Variant analysis Data science Statistics Long read sequencing