resources.Rmd

---
title: "Resources"
description: |
  This section contains some resources that are perhaps useful for others.
---

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# Resources


## Genomics

* The laboratory of Rafael Irizarry [<i class="fa fa-flask" aria-hidden="true"></i>](https://rafalab.github.io/){target="_blank"}
* Book by Avril Coghlan [<i class="fas fa-book-open"></i>](https://a-little-book-of-r-for-bioinformatics.readthedocs.io/en/latest/index.html){target="_blank"}
* Book by Cristianini and Hahn [<i class="fas fa-book-open"></i>](https://computationalgenomics.blogs.bristol.ac.uk/){target="_blank"}
* Bioconductor conferences [<i class="fa fa-users" aria-hidden="true"></i>](https://bioc2021.bioconductor.org/conferences/){target="_blank"}

## Maps Stuff 


* R and GIS [<i class="fa fa-compass" aria-hidden="true"></i>](https://datascienceplus.com/r-as-gis-part-1-vector/){target="_blank"}
* Book by Lovelace and Nowosad [<i class="fas fa-book-open"></i>](https://geocompr.robinlovelace.net/){target="_blank"}
* Course from Antonio Paez [<i class="fas fa-chalkboard-teacher"></i>](https://paezha.github.io/spatial-analysis-r/){target="_blank"}
* Copernicus (Sentinel etc) satellite data [<i class="fa fa-globe" aria-hidden="true"></i>](https://scihub.copernicus.eu/){target="_blank"}

## Learning R 

* Dublin R Meetup [<i class="fab fa-meetup"></i>](https://www.meetup.com/DublinR/){target="_blank"} [<i class="fab fa-twitter"></i>](https://twitter.com/DublinR){target="_blank"}
* R for data science community [<i class="fas fa-globe"></i>](https://www.rfordatasci.com/){target="_blank"} [<i class="fab fa-slack"></i>](https://rfordatascience.slack.com/join/shared_invite/zt-n46lijeb-2RRzQ70U34eH530~PyZsmg#/shared-invite/email){target="_blank"}
* [Tidy Tuesday](https://github.com/rfordatascience/tidytuesday){target="_blank"}
* Big Book of R [<i class="fab fa-r-project"></i>](https://www.bigbookofr.com/){target="_blank"}


## Data Visualisation

* Excellent course from Cédric Scherer [<i class="fas fa-chalkboard-teacher"></i>](https://z3tt.github.io/hands-on-ggplot2/){target="_blank"}
* Book by Claus Wilkie [<i class="fas fa-book-open"></i>](https://clauswilke.com/dataviz/){target="_blank"}
* Book by Kieran Healy [<i class="fas fa-book-open"></i>](https://socviz.co/index.html){target="_blank"}
* Cheatsheet from Zev Ross [<i class="fas fa-info-circle"></i>](http://zevross.com/blog/2014/08/04/beautiful-plotting-in-r-a-ggplot2-cheatsheet-3/){target="_blank"}

## Blogs I like

* Shannon Pileggi at Piping Hot Data [<i class="fa fa-rss-square" aria-hidden="true"></i>](https://www.pipinghotdata.com/){target="_blank"}
* Shirin Elsinghorst on all things R [<i class="fab fa-r-project"></i>](https://shirinsplayground.netlify.app/page/about/){target="_blank"}
* Garrick Aden-Buie, he of xaringanExtra etc [<i class="fa fa-rss-square" aria-hidden="true"></i>](https://www.garrickadenbuie.com/){target="_blank"}
* Will Chase and the Glamour of Graphics [<i class="fas fa-pencil-alt"></i>](https://www.williamrchase.com/){target="_blank"}
* And Maëlle Salmon for R coding [<i class="fab fa-r-project"></i>](https://masalmon.eu/){target="_blank"}
* And Emi Tanaka who largely inspired the layout of these pages [<i class="fa fa-rss-square" aria-hidden="true"></i>](https://emitanaka.org/){target="_blank"}
* And Silvia Canelon for some great examples of using xaringan [<i class="fa fa-rss-square" aria-hidden="true"></i>](https://emitanaka.org/){target="_blank"}