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If you're a programmer/CS person interesting in genomics/bioinformatics, I can't recommend UCSD's Coursera courses enough.
The UCSD bioinformatics algorithms courses on Coursera are fantastic: https://www.coursera.org/specializations/bioinformatics
Open Source Projects/Platforms:
ADAM (Big Data Genomics, code-base I think worked currently by UC Berkeley AMPLab and Microsoft Research group focused on cancer research) https://github.com/bigdatagenomics/adam/labels/pick%20me%20u...
BioConductor (R package that is very popular for crunching different genomic analysis, RNA-Seq)https://www.bioconductor.org/developers/
Galaxy (Platform for reproducible genomics workflows in the cloud)https://wiki.galaxyproject.org/Support
Public Available Data Sets:
Cancer Genome Atlas (contains expression data for different kinds of cancer) http://cancergenome.nih.gov/
NCBI Short Reads Archive (contains the genome assembly of a lot of published papers): https://www.ncbi.nlm.nih.gov/sra
European Nucleotide Archive: http://www.ebi.ac.uk/ena, e.g.,
For a recent major paper, "The Simons Genome Diversity Project: 300 genomes from 142 diverse populations"; you can grep for "accession code"(http://www.nature.com/nature/journal/vaop/ncurrent/full/natu...), follow the link and download the whole raw assemblies of all samples here: http://www.ebi.ac.uk/ena/data/view/PRJEB9586
NYGC, JCVI, CRB, Sanger, BGI, Broad, NIH, NCBI, Janelia Farm; any research group in universities; any informatics job at pharmaceutical or pharma startups.
My all star lineup would be:
The Analytics Edge - https://www.edx.org/course/analytics-edge-mitx-15-071x-0
Design of Computer Programs - https://www.udacity.com/course/design-of-computer-programs--...
If I had more time I would love to go through the bioinformatics specialization on Coursera. They have 2 books and an exercise site (rosalind.info). It looks like great fun.
⬐ amykharDesign of Computer Programs was decidedly the best course I ever took online. I was lucky enough to take it when it was first offered. Peter Norvig was very active in the course forum.⬐ geomark+1 for The Analytics Edge.
Along the same lines but a more thorough treatment of linear regression and statistical inference is the excellent Data Analysis and Statistical Inference https://www.coursera.org/course/statistics