Bioinformatics Core Facility

Resources

Learning a different language is not easy. Nonetheless, everybody can do it.

If you want to learn a new language the best is to practice on daily basis and in real life scenarios.

Install Linux on your computer (http://www.ubuntu.com/desktop). Stop using excel or other similar software and start using R (https://cran.r-project.org) or Python (https://www.python.org) and it's data frame package Pandas (http://pandas.pydata.org). If you wish to avoid changes in your system while trying this you can install linux on a virtual machine (https://www.virtualbox.org; http://www.wikihow.com/Install-Ubuntu-on-VirtualBox).

Here you can find links to useful online resources.

Code developed at the MPI-AGE

https://gitlab.age.mpg.de (coming soon)

bash

http://tldp.org/LDP/Bash-Beginners-Guide/html/index.html

http://guide.bash.academy

The R Project for Statistical Computing

http://tryr.codeschool.com

http://www.bioconductor.org

http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000482

http://master.bioconductor.org/help/course-materials/

https://cran.r-project.org/doc/contrib/Martinez-RforBiologistv1.1.pdf

Python

https://www.codecademy.com

http://pandas.pydata.org

http://matplotlib.org

http://biopython.org

Others

https://usegalaxy.org

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