Bioinformatic Methods II

The entire course is on coursera for free (minus quizzes and assignments, anything that's graded) so might as well hit that up.

https://www.coursera.org/learn/bioinformatics-methods-1

https://www.coursera.org/learn/bioinformatics-methods-2

I started with these courses:

https://www.coursera.org/specializations/bioinformatics

https://www.coursera.org/learn/bioinformatics-methods-1

https://www.coursera.org/learn/bioinformatics-methods-2

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Eventually, I discovered MIT Open Courseware – Computational Systems Biology changed my life, but I probably wouldn't start there unless you're super ambitious. And if you are, I'd highly recommend working through it even though it's quite technical (math involved, as should be expected in bioinformatics).

https://ocw.mit.edu/courses/biology/7-91j-foundations-of-computational-and-systems-biology-spring-2014/video-lectures/

https://www.youtube.com/watch?v=lJzybEXmIj0

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In practice bioinformatics usually takes advantage of command line programs and R packages. So eventually, you'll need to pick up

1. LINUX/UNIX command line
2. R (is pretty tough, but highly used in bioinformatics)
3. Python is pretty popular too

https://www.biostarhandbook.com/ (Not free but worth the money, good for beginners and intermediates)

Coursera:

https://www.coursera.org/specializations/bioinformatics (more algorithmic, comp sci approach, this might be what you're most interested in)

https://www.coursera.org/learn/bioinformatics-methods-1 Very beginner level

https://www.coursera.org/learn/bioinformatics-methods-2

https://www.coursera.org/specializations/genomic-data-science (intermediate level, not the best instruction for beginners)

Edx:

https://www.edx.org/micromasters/bioinformatics (I can't comment much about it, haven't looked at material)

Other:

https://software.broadinstitute.org/gatk/ This is from the Broad, and gives an idea of current best practices in clinical bioinformatic analysis.

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Good luck!

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