Github Resources
Statistical Analysis and Experimental Design
Statistical Comparisons Using R
Covers hypothesis testing, correlation analysis, ANOVA, and visualisation in R.Experimental Design
Guide to basic experimental design principles.Statistical Experimental Design
Advanced guide to statistical design for experiments.Statistical Inference for Biology
Statistical modeling for biological data analysis.Introductory Statistics with R
Basics of statistical analysis in R, including data exploration and hypothesis testing.Inference for High-dimensional Data
Techniques for analysing high-dimensional datasets.
RNA-Seq Analysis
RNA-Seq QC and Alignment
Detailed guide on quality control and alignment for RNA-Seq data.Analysing RNA-Seq Data with DESeq2
Comprehensive tutorial on differential expression analysis.Beginner Guide to DESeq2
Beginner-friendly guide for RNA-Seq analysis with DESeq2.
Single-Cell and Spatial Transcriptomics
Single Cell RNA-Seq Training
Introductory course for single-cell RNA sequencing.Spatial Transcriptomics
Comprehensive guide on spatial transcriptomics methodologies.
QTL Mapping
QTL Mapping in Mice
QTL mapping methodology specifically for mouse genetics.Human QTL Mapping:
- PubMed Resource
- Nature Protocols Resource
Includes scripts, data, and links to related software.
- PubMed Resource
General Bioinformatics Training
Intro to Bash
Beginner-friendly Bash tutorial for bioinformatics workflows.Intro to NGS
Covers fundamentals of Next-Generation Sequencing (NGS).Intro to R for Genomics
Introduction to R for genomic data analysis.Genomics Applications
Practical guides for genomic data applications.Transcriptomics Applications
Tutorials for transcriptomics data analysis.
Specialised Training
Intro R Adelaide
Introductory R workshop content.Intro to Genomics (December 2016)
Workshop materials for genomic data analysis in R.Roseworthy R Workshop (May 2017)
Covers R applications in bioinformatics.Spring Into Bioinformatics
Comprehensive bioinformatics workshop resources.
Pipeline Best Practices
- Best Practices
Guidelines and standards for bioinformatics workflows.
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