Omics Train - Bioinformatics Made Simple

Introduction

GitHub

Omics Train - Bioinformatics Made Simple

GitHub

About
About
- Introduction
Programming Languages/Tools
Programming Languages/Tools
- Programming Languages/Tools
- Unix
  Unix
  - Introduction To Shell/Unix
    Introduction To Shell/Unix
    
    Introduction
    
    Navigating Files & Directories
    
    Managing Files & Directories
    
    Redirection and Pipes
    
    Regular Expressions
    
    Shell Scripting
  - Unix Cheatsheet
- R
  R
  - Introduction to R
    Introduction to R
    
    Introduction
    
    Data Types/Variables/Vectors
    
    Data Structures
    
    Functions/Flow
    
    Inspecting/Manipulating Data
    
    Data Vizualization
  - Data Manipulation/Visualization In R
    Data Manipulation/Visualization In R
    
    Introduction
    
    Data Manipulation
    
    Data Visualization
  - R Cheatsheet
- Python
  Python
  - Introduction to Python
    Introduction to Python
    
    Introduction
    
    Variables/Data Types
    
    Libraries/Data Frames
    
    Plotting Data
    
    Lists
    
    Loops/Conditionals
    
    Functions/Scope
  - Conda Environments
- Misc
  Misc
  - Github
  - API
Omics
Omics
- Omics
- Genomics
  Genomics
  - Variant Calling in Cancer
    Variant Calling in Cancer
    
    Introduction
- Transcriptomics
  Transcriptomics
  - Bulk RNA-Sequencing
    Bulk RNA-Sequencing
    
    Introduction
    
    Setup
    
    Quality Control
    
    Read Alignment
    
    Gene Quantification
    
    Differential Expression
  - Single Cell RNA-Sequencing
    Single Cell RNA-Sequencing
    
    Introduction Introduction
    Table of contents
    
    Introduction
    
    Setup
  - WGCNA
    WGCNA
    
    WGCNA Pipeline
- Epigenetics
  Epigenetics
  - ChIP-Seq Analysis
    ChIP-Seq Analysis
    
    Introduction
- Proteomics
  Proteomics
  - Labelled Proteomics Data Analysis
    Labelled Proteomics Data Analysis
    
    Introduction
- Metagenomics
  Metagenomics
  - 16S Amplicon Sequencing
    16S Amplicon Sequencing
    
    Introduction
- Epidemiology
  Epidemiology
  - Study Design
    Study Design
    
    Introduction
- Multiomics
  Multiomics
  - Cannonical Correlation Analysis
    Cannonical Correlation Analysis
    
    Introduction
Biostatistics
Biostatistics
- Biostatistics
- Setup
- Biostatistics Cheatsheet
- Variables and Sampling
  Variables and Sampling
- Analyzing One Categorial Variable
  Analyzing One Categorial Variable
  - Binomial Test
- Analyzing Two Categorical Variables
  Analyzing Two Categorical Variables
- Analyzing One Numeric Variable
  Analyzing One Numeric Variable
  - One Sample T-Test
- Analyzing Numeric Variable With Two Groups
  Analyzing Numeric Variable With Two Groups
  - Paired T-Test
  - Two Sample T-Test
- Analyzing Two Numeric Variables
  Analyzing Two Numeric Variables
  - Correlation
- Analyzing Two Or More Groups
  Analyzing Two Or More Groups
  - One-Way ANOVA
Machine Learning
Machine Learning
- Machine Learning
- Tutorial Setup
- Unsupervised Learning
  Unsupervised Learning
- Supervised Learning
  Supervised Learning