**Authors**:
Jared Simpson
or
Vincent Carey
or
András Aszódi

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

The aim of this short course is to explain why we have to analyse variances if we want to compare group means using ANOVA techniques. This lecture may be included in the Linear regression with R course. Please note that we cannot go into the specific data analysis problems of your particular...

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although information is applicable to all sequencer reads.

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Course covers the key bioinformatics concepts and tools required to analyze cancer genomic data sets and access and work with data sets in the cloud.

Course covers the bioinformatics tools required to analyze genomic data sets.

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

Course covers the bioinformatics tools available for managing and interpreting high-throughput sequencing data with a focus on Illumina reads.

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

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

The aim of this course is to teach you how to create informative scientific plots using the ggplot package in 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. We...

The purpose of this training is to teach general programming concepts using Python as an instruction tool.

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.

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. It is aimed at colleagues who are going to run analysis programs on their own or wish to use computing clusters.

The aim of this course is to teach you how to fit linear models to your data using R. We focus on linear regression and generalised linear models (GLMs) in order to improve your generic statistics knowledge. Please note that we cannot go into the specific data analysis problems of your...

The title says it all: we teach the participants how to write good grant applications. If you are a PhD student in your final year, a postdoc or a group leader, then you will profit a lot from this practical workshop.

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....

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...

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,...

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.