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Course in Advanced Bioinformatics

Table of Contents

Outline

  • 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.

Shared point with students

Lessons and schedule available here.

Software requirements

Running with our Docker Image

  • osvaldogc/ufv:2.0: Docker image with Hands On packages already installed. Images can be pulled via docker pull osvaldogc/ufv:2.0. Detailed instructions here.

Running locally

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.

Some EXTRA recommendations

If you want to complement, add or step up your knowledge in bioinformatics...

Some deeper and longer... but highly recommended bioinformatics courses (still available online):

Recommended books:

Author

Fernando Pozo – @fpozoca - Google Scholar[email protected] - github.com/fpozoc

Contributing

  1. Fork it (https://github.com/fpozoc/advanced-bioinformatics-course).
  2. Create your feature branch (git checkout -b feature/fooBar).
  3. Commit your changes (git commit -am 'Add some fooBar').
  4. Push to the branch (git push origin feature/fooBar).
  5. Create a new Pull Request.

About

This course provides an end-to-end in-depth exploration of bioinformatics analysis of genomic data.

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