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Introduction to R and Bioconductor tools for analysis of high-throughput microarray and short read sequence data.

R 3.20% CSS 0.03% HTML 96.77%

bioanalysis's Introduction

Learning genomics

What: Notes and learning process :)

                πŸ“ planned πŸ•œ in progress βœ”οΈ done

This repo consists of following parts:

  • Bioconductor

    [πŸ•œ | fhcrc-labs] Lab materials from the Introduction to R and Bioconductor course held 27-29 January 2010 in Seattle at FHCRC (Fred Hutchinson Cancer Research Center), one of the world’s leading cancer research institutes. Here I go through this course.

  • Processing microarrays

    Here the plan is following:

  • [βœ”οΈ | genomics-intro] Introduction to Genomic Technologies by Steven Salzberg, Ph.D. and Jeff Leek, Ph.D. (Coursera)

  • [βœ”οΈ | genomics-bioconductor] Bioconductor for Genomic Data Science Taught by: Kasper Daniel Hansen, PhD - link

  • [βœ”οΈ| statistics] Statistics for Genomic Data Science Taught by: Jeff Leek, PhD

For later:

  1. Graphics and Visualisation
  2. Microarray tutorial
  3. PH525x
  4. Hardvard recommentations
  5. HarvardX Biomedical Data Science Open Online Training
  6. Advanced Data Science 2020 by Jeff Leek and Roger D. Peng
  7. Doctoral classes Biostatistics 753 and 754: Advanced Methods In Biostatistics I/II by Jeff Leek

bioanalysis's People

Contributors

wkzawadzka avatar

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