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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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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ucdavis-bioinformatics-training/2020-Epigenetics_Workshop
ChIP-seq Epigenetics Sequencing ATAC-seq Next generation sequencing
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bioinformaticsdotca/EPI_2023
ChIP-seq Epigenetics Sequencing Next generation sequencing
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liulab-dfci/bioinfo-combio
ChIP-seq Epigenetics Genomics Sequencing Single-cell sequencing Transcriptomics Variant pattern analysis General ATAC-seq Next generation sequencing 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