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Free online courses in Bioinformatics
Statistical learning (a great introduction by famous authors):
https://www
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com/watch?v=5N9V07EIfIg&list=PLOg0ngHtcqbPTlZzRHA2ocQZqB1D_qZ5V
Khan academy offers many free courses, e
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: https://www
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org/math/statisticsprobability)
EMBL has a collection of courses online (with a focus on computational biology analyses):
https://www
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ac
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github
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codecademy
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codecademy
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codecademy
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org)
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I took this
course for Machine Learning (very easy to follow, it’s good for beginners and also has some exercises
in matlab or octave (open source)) (https://coursera
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github
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pub/2016/misread-tsne/
Differential expression analysis tools and examples:
https://bioconductor
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pdf
understanding interactions:
http://genomicsclass
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io/book/pages/interactions_and_contrasts
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org/seurat/
https://icb-scanpy
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com/en/stable/tutorials
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youtube
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wordpress
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cloud/
- Basic intro: https://www
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com/learn/learn-r
- Interactive R learning with swirl: https://swirlstats
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html
- Examples of main concepts: https://www
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io/r-programming/#tutorial
- R intro video: https://www
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com/watch?v=_V8eKsto3Ug
- Full stats intro: https://stat545
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html
- The “tidyverse” is a godsend for biologists https://www
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org/
- R Data Science book (lots of tidyverse): https://r4ds
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co
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com/
- R Graphics Cookbook: https://r-graphics
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free book): http://faculty
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usc
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com/rmcelreath/statrethinking_winter2019
Learn Python
- Python everything: https://chrisalbon
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learnpython
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com/chris-rands/biopython-coronavirus
Command line:
--> Beginner's guide for bash terminal: https://www
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com/watch?v=oxuRxtrO2Ag
- Introduction to Linux: https://www
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org/course/introduction-to-linux
- Intro to Linux: https://www
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com/introduction-linux
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org/lessons/
- Genomics overview: https://datacarpentry
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org/shell-genomics/
-- Project organization genomics: https://datacarpentry
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org/lessons/
- R intro: http://swcarpentry
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io/r-novice-inflammation/
General tutorial/workshop/book collections:
--> Shirley Liu STAT115 Harvard/Dana-Farber (last video in playlist is first to watch):
https://www
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com/playlist?list=PLeB-Dlq-v6tY3QLdQBA7rwb4a7fK9mLpv
- Rosalind Learning Through Problem Solving: http://rosalind
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info/courses/
- Data Science: http://rafalab
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io/pages/teaching
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hadriengourle
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eng
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ac
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ijaz/#bioinformatics
- Bioconductor talks/intros/workshops: https://www
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org/help/course-materials/
- RMarkdown intro: https://ourcodingclub
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io/tutorials/rmarkdown/
- https://kbroman
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html
- Bioinformatics Book Pevsner lab: http://www
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org/
- YaleDHLab workshops: https://github
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lab
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umich
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com/YaleDHLab/lab-workshops/tree/master/command-line
- Jupyter Notebook workshop machine learning: https://github
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ipynb
- Fundamentals of data visualization: https://serialmentor
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html
- Data visualization intro: https://columbiaviz
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io/2018f_w4995/
Data analytics:
- http://cecileane
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io/computingtools/
- Population genomics book: https://github
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1
- Single-cell RNA-seq collection: https://osca
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org/learning-r-and-more
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ebi
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uk/training/online/course/embo-practical-course-analysishigh-throughput-seq/introduction-r-and-bioconductor
- Notes on data science and machine learning https://chrisalbon

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