This course would be impossible without many resources and material shared by others, listed at https://github.com/mdozmorov/blogs

Special thanks to:

• Aaron Quinlan, applied-computational-genomics - applied computational genomics course, https://github.com/quinlan-lab/applied-computational-genomics

• David Gifford, Christopher Burge, and the course “Foundations of Computational and Systems Biology” https://ocw.mit.edu/courses/biology/7-91j-foundations-of-computational-and-systems-biology-spring-2014/index.htm, https://www.youtube.com/watch?v=pJAIalWDgY0&list=PLA48145CC64FE7990

• Ben Langmead, ads1-slides - Ben Langmead’s Slides for Algorithms for DNA Sequencing Coursera class. https://github.com/BenLangmead/ads1-slides.git. The complete class is at http://www.langmead-lab.org/teaching-materials/

• Steven Skiena, CSE549 - CSE 549 - Introduction to Computational Biology. Includes video lectures. http://www3.cs.stonybrook.edu/~skiena/549/, https://www.youtube.com/watch?v=pJAIalWDgY0&list=PLA48145CC64FE7990

• Kasper Hansen, genbioconductor - “Materials for Genomics Data Science: Introduction to Bioconductor” course. Includes videos, code examples and lecture material. Web-site, https://kasperdanielhansen.github.io/genbioconductor/

• Michael Schatz, appliedgenomics - JHU Applied Comparative Genomics 2017 course. https://github.com/schatzlab/appliedgenomics, links to similar courses there. Other courses by Michael, http://schatzlab.cshl.edu/teaching/

• INF-BIOx121_fall2014_de_novo_assembly - de novo assembly presentations and Jupyter notebooks tutorials. https://github.com/lexnederbragt/INF-BIOx121_fall2014_de_novo_assembly.The full “High Throughput Sequencing technologies and bioinformatics analysis” course material is at https://wiki.uio.no/projects/clsi/index.php/INF-BIOX121_H14

• Martin Morgan et.al., CSAMA - Course material for CSAMA: Statistical Data Analysis for Genome Scale Biology. https://github.com/Bioconductor/CSAMA, https://www.bioconductor.org/help/course-materials/2017/CSAMA/

• labs - Biomedical Data Science PH525x course from Rafael Irizarry and Michael Love https://genomicsclass.github.io/book/ and https://github.com/genomicsclass/labs. Videos http://lorainelab.org/statistics-and-r-for-the-life-sciences/. Data science book dsbook, https://github.com/rafalab/dsbook

• compbio - Introduction to Computational Biology course, https://github.com/biodatascience/compbio and https://biodatascience.github.io/compbio/

• Ingo Ruczinski, JHU, http://www.biostat.jhsph.edu/~iruczins/