Ryan C. Thompson
1028227eaa
Add a README.mkdn for every directory
|
8 年 前 | |
|---|---|---|
| .. | ||
| 450k | 8 年 前 | |
| CD4 | 8 年 前 | |
| Pathways | 8 年 前 | |
| Teaching | 8 年 前 | |
| fRMA | 8 年 前 | |
| globin | 8 年 前 | |
| Advanced RNA-seq Analysis.pdf | 9 年 前 | |
| C. elegans PCA.pdf | 9 年 前 | |
| Classifier Math Write-up.pdf | 9 年 前 | |
| DGE Presentation.pdf | 9 年 前 | |
| README.mkdn | 8 年 前 | |
| Reproducible Workflow Presentation.pdf | 8 年 前 | |
| blockbuster-pipeline.R | 9 年 前 | |
| blockbuster-pipeline.R.html | 8 年 前 | |
| mdsplots-multidim.pdf | 9 年 前 | |
README.mkdn
## Sub-folders
- [`Teaching`](Teaching): Teaching materials for my lecture and lab on
introductory RNA-seq analysis
- [`CD4`](CD4): Examples relating to my CD4 memory RNA-seq & ChIP-seq
project
- [`450k`](450k): Examples relating to analysis of Illumina 450k DNA
methylation arrays
- [`Pathways`](Pathways): Examples of gene set and pathway analysis
for RNA-seq data
- [`globin`](globin): Examples of my work in demonstrating the
performance of a new globin blocking protocol for RNA-seq of blood
tissues
- [`fRMA`](fRMA): Examples and code from my work creating a custom
frozen RMA reference to provide a stable normalization for machine
learning applications
## Presentations
- [`DGE Presentation.pdf`](DGE Presentation.pdf): A presentation
comparing edgeR, DESeq, and limma on both a conceptual and practical
level
- [`Advanced RNA-seq Analysis.pdf`](Advanced RNA-seq Analysis.pdf): A
presentation on the advanced features of limma for RNA-seq analysis
- [`Reproducible Workflow Presentation.pdf`](Reproducible Workflow Presentation.pdf):
## Other files
- [`Classifier Math Write-up.pdf`](Classifier Math Write-up.pdf): A
short write-up to explain the mathematical principles behind the
classifier method used in a machine learning project
- [`blockbuster-pipeline.R.html`](blockbuster-pipeline.R.html): R code
for clustering small RNA reads into clusters
using
[Blockbuster](http://hoffmann.bioinf.uni-leipzig.de/LIFE/blockbuster.html)
- [`mdsplots-multidim.pdf`](mdsplots-multidim.pdf): A PCA plot of RNA-seq
data for *C. elegans* samples with and without a drug that retards
the aging process, demonstrating smaller age-related changes with
the drug
(for [this paper](https://elifesciences.org/content/4/e08833))
- [`Teaching`](Teaching): Teaching materials for my lecture and lab on
introductory RNA-seq analysis
- [`CD4`](CD4): Examples relating to my CD4 memory RNA-seq & ChIP-seq
project
- [`450k`](450k): Examples relating to analysis of Illumina 450k DNA
methylation arrays
- [`Pathways`](Pathways): Examples of gene set and pathway analysis
for RNA-seq data
- [`globin`](globin): Examples of my work in demonstrating the
performance of a new globin blocking protocol for RNA-seq of blood
tissues
- [`fRMA`](fRMA): Examples and code from my work creating a custom
frozen RMA reference to provide a stable normalization for machine
learning applications
## Presentations
- [`DGE Presentation.pdf`](DGE Presentation.pdf): A presentation
comparing edgeR, DESeq, and limma on both a conceptual and practical
level
- [`Advanced RNA-seq Analysis.pdf`](Advanced RNA-seq Analysis.pdf): A
presentation on the advanced features of limma for RNA-seq analysis
- [`Reproducible Workflow Presentation.pdf`](Reproducible Workflow Presentation.pdf):
## Other files
- [`Classifier Math Write-up.pdf`](Classifier Math Write-up.pdf): A
short write-up to explain the mathematical principles behind the
classifier method used in a machine learning project
- [`blockbuster-pipeline.R.html`](blockbuster-pipeline.R.html): R code
for clustering small RNA reads into clusters
using
[Blockbuster](http://hoffmann.bioinf.uni-leipzig.de/LIFE/blockbuster.html)
- [`mdsplots-multidim.pdf`](mdsplots-multidim.pdf): A PCA plot of RNA-seq
data for *C. elegans* samples with and without a drug that retards
the aging process, demonstrating smaller age-related changes with
the drug
(for [this paper](https://elifesciences.org/content/4/e08833))