bioinformatics-core-shared-training.github.io

Bioinformatics-core-shared-training.GitHub.io by bioinformatics-core-shared-training

Collaboration between Mark Dunning. CRUK Cambridge Institute) and Thomas Carroll. An Introduction to Statistics. Introduction to Experimental Design. An Introduction to Genome Browsers. Analysis of High-throughput sequencing data with Bioconductor. Further Statistical Analysis Using R. Take your R skills to the next level with dplyr and ggplot2. Learn how to organise your speadsheet data so they can be processed in languages such as R and Python. Page on the CRUK Cambridge Institute website.

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Bioinformatics-core-shared-training.GitHub.io by bioinformatics-core-shared-training | bioinformatics-core-shared-training.github.io Reviews

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Collaboration between Mark Dunning. CRUK Cambridge Institute) and Thomas Carroll. An Introduction to Statistics. Introduction to Experimental Design. An Introduction to Genome Browsers. Analysis of High-throughput sequencing data with Bioconductor. Further Statistical Analysis Using R. Take your R skills to the next level with dplyr and ggplot2. Learn how to organise your speadsheet data so they can be processed in languages such as R and Python. Page on the CRUK Cambridge Institute website.

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7 intermediate

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Bioinformatics-core-shared-training.GitHub.io by bioinformatics-core-shared-training | bioinformatics-core-shared-training.github.io Reviews

https://bioinformatics-core-shared-training.github.io

Collaboration between Mark Dunning. CRUK Cambridge Institute) and Thomas Carroll. An Introduction to Statistics. Introduction to Experimental Design. An Introduction to Genome Browsers. Analysis of High-throughput sequencing data with Bioconductor. Further Statistical Analysis Using R. Take your R skills to the next level with dplyr and ggplot2. Learn how to organise your speadsheet data so they can be processed in languages such as R and Python. Page on the CRUK Cambridge Institute website.

INTERNAL PAGES

bioinformatics-core-shared-training.github.io

1

Software Carpentry: The Unix Shell

http://bioinformatics-core-shared-training.github.io/shell-novice

This repository is based on the shell-novice material from the Software Carpentry Foundation. It is being developed in collaboration between the Scientific Computing. Teams at Cancer Research UK Cambridge Institute. This lesson guides you through the basics of filesystems and the shell. If you have stored files on a computer at all and recognize the word file and either directory or folder (two common words for the same thing), you're ready for this lesson. Click on the file name 'crukci-training-vm....

2

R Graphics by bioinformatics-core-shared-training

http://bioinformatics-core-shared-training.github.io/graphics

A short course on creating and manipulating graphics in R. Download .tar.gz. R Graphics is maintained by bioinformatics-core-shared-training. This page was generated by GitHub Pages. Tactile theme by Jason Long.

3

Intermediate-stats by bioinformatics-core-shared-training

http://bioinformatics-core-shared-training.github.io/intermediate-stats

Further Statistical Analysis Using R. For those that want to go further with stats and are familiar with R. This course is a follow-on course to our Introductory Statistics course. Including some topics that have been suggested by previous attendees. This course assumes basic knowledge of statistics and use of R, which would be obtained from our Introductory Statistics Course. And Introduction to Solving Biological Problems with R. Cheatsheet of when to use each statistical test (pdf).

4

Introduction to Statistical Analysis

http://bioinformatics-core-shared-training.github.io/IntroductionToStats

Introduction to Statistical Analysis. This course provides a refresher on the foundations of statistical analysis. Practicals are conducted using the 'Shiny' package; which provides an accessible interface to the R statistical language. Note that this is not a course for learning about the R statistical language itself. If you wish to learn more about R, please see other courses at the University of Cambridge. An Introduction to Solving Biological Problems with R. During this course you will learn about:.

5

Genome Browser Course by bioinformatics-core-shared-training

http://bioinformatics-core-shared-training.github.io/GenomeBrowserCourse

View the Project on GitHub bioinformatics-core-shared-training/GenomeBrowserCourse. The Integrative Genomics Viewer ( IGV. From the Broad Institute. A reasonable internet connection. Introduction to File formats. Introduction to the UCSC genome browser. Practical materials from Open Helix. UCSC Genome Browser Introduction. UCSC Genome Browser Table Browser and Custom Tracks. UCSC Genome Browser Introduction Additional Tools. About Genome Browsers is maintained by bioinformatics-core-shared-training.

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Bioinformatics-core-shared-training.GitHub.io by bioinformatics-core-shared-training

Collaboration between Mark Dunning. CRUK Cambridge Institute) and Thomas Carroll. An Introduction to Statistics. Introduction to Experimental Design. An Introduction to Genome Browsers. Analysis of High-throughput sequencing data with Bioconductor. Further Statistical Analysis Using R. Take your R skills to the next level with dplyr and ggplot2. Learn how to organise your speadsheet data so they can be processed in languages such as R and Python. Page on the CRUK Cambridge Institute website.

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