Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/aebilgrau/dlbcldata
Gene expression profiles on Diffuse Large B-Cell Lymphoma
https://github.com/aebilgrau/dlbcldata
Last synced: 8 days ago
JSON representation
Gene expression profiles on Diffuse Large B-Cell Lymphoma
- Host: GitHub
- URL: https://github.com/aebilgrau/dlbcldata
- Owner: AEBilgrau
- Created: 2014-11-03T21:12:17.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2016-04-06T21:10:09.000Z (over 8 years ago)
- Last Synced: 2024-10-31T03:28:18.242Z (8 days ago)
- Language: R
- Homepage:
- Size: 144 KB
- Stars: 6
- Watchers: 3
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://travis-ci.org/AEBilgrau/DLBCLdata)
**DLBCLdata**
=============
#### Automated and reproducible download and preprocessing of DLBCL data
The **DLBCLdata** package for **R** automates the download and preprocessing of large-scale Gene Expression Profile (GEP) studies of Diffuse Large B-Cell Lymphoma (DLBCL) from the NCBI (National Center for Biotechnical Information) GEO (Gene Expression Omnibus) website. It provides **R** users with *reproducible* and *easy* access to GEP data on GEO as an alternative to the otherwise cumbersome manual downloading and preprocessing. The package handles the RMA preprocessing of the studies of DLBCL using the manufacturer's or custom Brainarray [2] chip definition files (CDF) including the installation of these CDFs.
The package is (hopefully) written with enough generality to allow expansion to other DLBCL and non-DLBCL datasets.
## Installation
To install the latest version of **DLBCLdata** directly from the master branch at GitHub, run
```R
install.packages("devtools") # If devtools is not installed
devtools::install_github("AEBilgrau/DLBCLdata")
```
Note, that this version is in development and, as such, it may be unstable. For previous versions of **DLBCLdata**, visit the old [releases at GitHub](https://github.com/AEBilgrau/DLBCLdata/releases).
## Usage
The package *should* work with any NCBI GEO repository containing gene expression data. However, the package is tailored specifically to some DLBCL GEO accession numbers. To get an overview of the directly "supported" GEO numbers, see
```R
library("DLBCL_overview"")
View(DLBCL_overview)
```
To download and process a specific GEO number, GSE56315 [1] say, simply run
```R
res_gse56315 <- downloadAndProcessGEO("GSE56315")
```
Alternatively, a non-standard CDF file can be specified:
```R
res_gse56315 <-
downloadAndProcessGEO("GSE56315", cdf = "brainarray", target = "ensg")
```
The former downloads the `.CEL` files and RMA preprocesses the data present in GSE56315 [1] using the standard Affymetrix CDF files. The latter downloads and preprocess directly to Ensembl gene identifiers (ENSG) using RMA normalization and custom Brainarray CDFs [2].
To download and preprocesses *all* datasets featured in **DLBCLdata** (shown with `DLBCL_overview`) using, say, brainarray to Entrez gene identifiers the following line will do so.
```R
dlbcl_data <- downloadAndProcessDLBCL(cdf = "brainarray", target = "entrezg")
str(dlbcl_data, max.level = 2) # Overview of the object
```
This function creates the file `dlbcl_data.Rds` in the working directory which can later be read into **R** with `readRDS`.
For more help, see `help("DLBCLdata")`.
## References
1. Dybkaer K, Boegsted M, Falgreen S, Boedker JS et al. *"Diffuse Large B-cell Lymphoma Classification System That Associates Normal B-cell Subset Phenotypes with Prognosis."* Journal of Clinical Oncology 33, no. 12 (2015): 1379-1388. (GEO number: GSE56315)
2. Manhong Dai, Pinglang Wang, Andrew D. Boyd, Georgi Kostov, Brian Athey, Edward G. Jones, William E. Bunney, Richard M. Myer, Terry P. Speed, Huda Akil, Stanley J. Watson and Fan Meng. (2005) *"Evolving Gene/Transcript Definitions Significantly Alter the Interpretation of GeneChip Data."* Nucleic Acid Research 33 (20), e175 [(http://brainarray.mbni.med.umich.edu)](http://brainarray.mbni.med.umich.edu/Brainarray/Database/CustomCDF/genomic_curated_CDF.asp)
Please also cite `DLBCLdata` if you use it, see `citation("DLBCLdata")`.