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Learn Bioinformatics (Resources)

Hi There, I always received questions like “Could you please help me to learn Bioinformatics?” and since this is a general question and you need to specify more which topics you would like to learn so I decided to make this repo and I will update it continuously as I found more resources and materials. I always prefer to point out to English materials as I think they are more professionals and educated but I will mention some materials that I really like in Arabic too. All materials that I mentioned here depends on my personal preferences so it may taste differently to the others .

Materials & Resources Links
Genomic Data Science Specialization
  • Link
  • Ben Langmead YouTube Playlists on Algorithms for DNA Sequencing,
    Indexing, Sketching and random data structures
  • Link
  • Applied Computational Genomics Course by Aaron Quinlan
  • Link
  • MIT Deep Learning Genomics by Manolis Kellis
  • Link
  • Introduction to Bioinformatics and Computational Biology by Xiaole Shirley Liu
  • Link
  • The Canadian Bioinformatics Workshops
  • Link
  • Bioinformatics Coach Channel
  • Link
  • C. Titus Brown Blog, Lab Training, Twitter account
  • Blog Link
  • Training Link
  • Training Link
  • Micheal Schatz Github Repo
  • Link
  • Shomu's Bioinformatics with practical (SBWP) (for basics)
  • Link
  • Bioinformatics Data Skills: Reproducible and Robust Research
    with Open Source Tools by Vince Buffalo
  • Book Link on Amazon
  • Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins
    by Andreas D. Baxevanis, Gary D. Bader, and David S. Wishart
  • Book Link on Amazon
  • Biostar Handbook
  • Book Link
  • Arabic Materials
  • Link
  • Galaxy Training
  • Link
  • Telegram Channel for Mansoura University Medical Informatics Students
  • Channel Link
  • Bioinformatics by Open Source Society University
  • Link
  • strand-ngs.com
  • Link
  • Introduction to bioinformatics for RNA sequence analysis
  • Link
  • Informatics for RNA-seq: A web resource for analysis on the cloud
  • Link
  • GaBI Academy: GaBI edX talks/playlists
  • Link
  • Learn SeqAn : an open source C++ library of efficient algorithms and data structures
  • Link
  • learning vcf file
  • Link
  • Notes on Some Projects Analysis: Assembly, Virant Calling, Metagenomics, and Gene Expresstion
  • Link
  • E-book by NYU Center For Genomics and Systems Biology (NGS Resources)
  • Link
  • Metagenomics Wiki
  • Link
  • Statistical Rethinking
  • Link
  • Best practices for bulk and single cell RNA-seq data analysis
  • Link
  • Bitesize Bioiniformatics
  • Link
  • Michael Edwards Playlists of Bioinformatics
  • Link
  • Online Tutorials and Webinar Library by EMBL-EBI Training
  • Link
  • Computational Genomics with R
  • Link
  • Computational Genomics Tutorial: Massey University course
  • Link
  • Chipster Tutorials: Single cell RNA-seq, Variant Calling, Microbial Community Analysis
  • Link
  • The National Library of Medicine playlists: The NCBI Minute Webinars
  • Link
  • Bioinformatics Course at SLU by the SGBC
  • Link
  • NGSeminars by NGSchool
  • Link
  • Slides and Materials
  • Bioinformatics Core by Cancer Research UK Cambridge Institute
  • Link
  • Bioinformagician Channel
  • Link
  • UCLA QCBio Collaboratory Channel
  • Link
  • Bioinformatics for Plant and Animal sciences
  • Link
  • Danny Arends Youtube Channel
  • Link
  • Bioinformatics for Biologists 2021
  • Link
  • video materials for the courses teached by Prof. Nathaniel Jue at California State University
  • Link
  • Modern Statistics for Modern Biology
  • Link
  • Statistics for heterogeneous biological data
  • Link
  • BIOINFORMATICS 1 by The University of Edinburg in UK
  • Link
  • BIOINFORMATICS 2 by The University of Edinburg in UK
  • Link
  • Biostatsquid: clear explanations and hands-on tutorials for analysing and interpreting biological data.
  • Link
  • Exploratory analysis of transcriptomics data in R.
  • Link
  • TileStats: courses in statistics and systems biology at the University of Skövde, Sweden by Prof. Andreas Tilevik.
  • Link
  • A hands-on introduction to the computer-based analysis of genomic and biomolecular data from the Division of Biological Sciences, UCSD.
  • Link
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