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Authors: Malachi Griffith  or András Aszódi 

Informatics for RNA-Seq Analysis 2018 Module 4-Reference Free Alignment

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2018 Module 1-Introduction to RNA Sequencing Analysis

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 5-Isoform Discovery and Alternative Expression

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 4-Reference Free Alignment

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

Informatics for RNA-Seq Analysis 2017 Module 1-Introduction to RNA Sequencing Analysis

Course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages.

High-Throughput Biology 2017 Module 11-Isoform Discovery and Alternative Expression

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 10-Reference Free Alignment

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

High-Throughput Biology 2017 Module 7-Introduction to RNA Sequencing Analysis

Course covers the key bioinformatics concepts and tools required to analyze DNA- and RNA- sequence reads using a reference genome.

Statistics with R

The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge....

Scientific topics: Statistics and probability

Keywords: Biostatistics, R

Python programming primer

The purpose of this training is to teach general programming concepts using Python as an instruction tool.
Topics:
Introduction to Python: basic principles.
Python data structures: strings, tuples, lists, dictionaries, sets.
Object-oriented programming: how to model coffee machines in Python...

Scientific topics: Software engineering

Keywords: Python biologists

R as a programming language

This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts.
Topics:
Introduction to R: general principles.
Data structures in R: vectors, matrices, arrays,...

Keywords: R programming

UNIX command line and scripting

The first part of this course introduces the UNIX command line on a Linux or Mac. The second part provides a basic introduction to string searches and scripting with AWK and BASH.

Keywords: Awk, Bash, Unix