Skip to content

Part 2 of the "Accelerated intro to Computational Biology for Biologists" course for the Master's Programme in Computational Biology, Universidad Politecnica de Madrid. This covers the first 2 weeks (~24 hours) of material, taught by Mark Wilkinson.

Notifications You must be signed in to change notification settings

jmgs7/Accelerated_Intro_to_CompBio_Part_2

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

71 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Accelerated Introduction to Computational Biology for Biologists: Part 2

Part 2 of the "Accelerated intro to Computational Biology for Biologists" course for the Master's Programme in Computational Biology, Universidad Politecnica de Madrid. This covers the first 2 weeks (~24 hours) of material, taught by Mark Wilkinson.

In this part of the course we cover:

  • Jupyter Notebooks (a bit more detail)
  • Introduction to Docker
  • Introduction to Databases (mySQL), including Docker installation
  • SQL (and perhaps other kinds of DBs, time permitting)
  • Introduction to Python

UPM Computational Biology Master's Programme

Bioinformatics Programming Challenges

A BioRuby-based bioinformatics course (still under-development - not recommended for ANY purpose!)

3 ways to run this course:

** CURRENTLY DISABLED ** 1) Binder is a way to interact with the Jupyter notebooks inside of this repository - try it!
Binder

  1. If you use Docker, you can docker pull, and then docker run this course as a Docker image as follows:

    docker pull markw/upm_compbio_masters_programme

    docker run -p 9000:9000 -it markw/upm_compbio_masters_programme jupyter notebook --ip 0.0.0.0 --port 9000

    Open the link displayed to begin browsing the (interactive) course in your Web browser.

  2. Download the VM Ware image that has additional software such as Komodo edit and BlazeGraph installed (see instructions below)

UPM Students - INSTRUCTIONS

Dear Students,

You will take this course using a VMWare Virtual Machine. You should do the following:

  1. CREATE AN ACCOUNT ON GitHub (this website) if you haven't already got one...
  2. Download VMWare Player (if you haven't already got it): https://my.vmware.com/web/vmware/free#desktop_end_user_computing/vmware_workstation_player/14_0
  3. You should download the VMWare Virtual Machine that I have created for this course, which is in this Zenodo deposit: https://doi.org/10.5281/zenodo.1147435
  4. Unzip the virtual machine
  5. Start VMWare Player and select the virtual machine - start it (PASSWORD IS osboxes.org)
  6. In the top-right corner of the VM Desktop, you can select either US-style or Spanish-style keyboard
  7. Browse to: https://github.com/CBGP-UPM-INIA-PUBLIC/Accelerated_Intro_to_CompBio_Part_2
  8. In the top-right corner, click "Fork", to make a copy of this repository in your own GitHub account
  9. Browse to the copy in your GitHub account (you should already be there after Forking)
  10. Click the big green "Clone" button and copy the address to your clipboard
  11. open a terminal window in your Virtual Machine
  12. type: git clone https://github.com/yoruaccountname/Accelerated_Intro_to_CompBio_Part_2.git (whatever you copied in step 9)
  13. after it is cloned, cd into the "Lectures" folder and type jupyter notebook to start the interactive Jupyter session
  14. Browse to Lesson 1 and... let's get started!

About

Part 2 of the "Accelerated intro to Computational Biology for Biologists" course for the Master's Programme in Computational Biology, Universidad Politecnica de Madrid. This covers the first 2 weeks (~24 hours) of material, taught by Mark Wilkinson.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%