- Course in Advanced Bioinformatics
- Outline
- Shared point with students
- Software requirements
- Some EXTRA recommendations
- Author
- Contributing
- Lecture 1: Introduction to genome sequencing and next generation sequencing methods.
- Lecture 2: Introduction to the Linux command line, NGS data formats, read mapping and alignments (hands-on available here).
- Lecture 3: NGS applications: RNA‐seq.
- Lecture 4: NGS applications: ChIP‐seq.
- Lecture 5: NGS applications: Variant detection, SNPs, CNVs, structural variants, epigenetic variation.
- Lecture 6: NGS applications: Sequence assembly, de‐novo sequencing and EST sequencing.
- Lecture 7: Introduction to Genome Browsing with the UCSC Genome Browser.
Lessons and schedule available here.
- osvaldogc/ufv:2.0: Docker image with
Hands On
packages already installed. Images can be pulled viadocker pull osvaldogc/ufv:2.0
. Detailed instructions here.
Remember that all the packages required to run the analysis are already installed in our Docker image.
Follow this guide if you want to run your analysis locally.
If you want to complement, add or step up your knowledge in bioinformatics...
- My June 27, 2022 post in FEBS Network: Why and how should you start learning bioinformatics?
Some deeper and longer... but highly recommended bioinformatics courses (still available online):
- Foundations of Computational and Systems Biology. MIT Opencourseware. Spring 2014.
- MIT CompBio. MIT. 2018.
Recommended books:
- Bioinformatics algorithms by Pavel A. Pevzner.
- Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber.
Fernando Pozo – @fpozoca - Google Scholar – [email protected] - github.com/fpozoc
- Fork it (https://github.com/fpozoc/advanced-bioinformatics-course).
- Create your feature branch (
git checkout -b feature/fooBar
). - Commit your changes (
git commit -am 'Add some fooBar'
). - Push to the branch (
git push origin feature/fooBar
). - Create a new Pull Request.