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index.Rmd
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index.Rmd
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---
title: "Home"
site: workflowr::wflow_site
output:
workflowr::wflow_html:
toc: false
editor_options:
chunk_output_type: console
---
I refer to [my blog](https://davetang.org/muse/) often to look up notes and code I have written. I will recreate my blog posts here, to make it easier to reuse and also maintain my code. Some posts only exist here and not on my blog, so there is no `original` hyperlink back to my blog.
### Blog posts
* Making a heatmap in R with the pheatmap package - [original](https://davetang.org/muse/2018/05/15/making-a-heatmap-in-r-with-the-pheatmap-package/) / [updated](pheatmap.html)
* Markov chain - [original](https://davetang.org/muse/2014/01/23/markov-chain/) / [updated](markov_chain.html)
* Visualising Google Trends results with R - [original](https://davetang.org/muse/2018/12/31/visualising-google-trends-results-with-r/) / [updated](google_trends.html)
* Complex UpSet plots - original / [updated](complex_upset.html)
* Read GTF file into R - [original](https://davetang.org/muse/2017/08/04/read-gtf-file-r/) / [updated](read_gtf.html)
* Gene Ontology Enrichment Analysis - [original](https://davetang.org/muse/2010/11/10/gene-ontology-enrichment-analysis/) / [updated](go_enrichment.html)
* Split single column of annotations into multiple columns - original / [updated](split_column.html)
* Distance Matrix Computation - [original](https://davetang.org/muse/2013/08/15/distance-matrix-computation/) / [updated](distance.html)
* Sequence composition and random forests - [original](https://davetang.org/muse/2013/09/14/sequence-composition-random-forests/) / [updated](tss_predict.html)
* Using dplyr to aggregate in R - [original](https://davetang.org/muse/2016/10/13/using-dplyr-aggregate-r/) / [updated](dplyr_agg.html)
* Using the R `seqinr` package - [original](https://davetang.org/muse/2013/05/09/using-the-r-seqinr-package/) / [updated](seqinr.html)
* Backticks in R - [original](https://davetang.org/muse/2022/09/07/backticks-in-r/) / [updated](r_backticks.html)
* Step by step Principal Component Analysis using R [original](https://davetang.org/muse/2012/02/01/step-by-step-principal-components-analysis-using-r/) / [updated](pca.html)