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Processing RNAseq data from Cell Lines. From raw data to normalised, voom and ComBat batch-correction

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process_rnaseq_cellines

Processing RNAseq data from Cell Lines. The process_rnaseq_cellines_* files are pipelines that follow the next steps:

  • Imputes 0 to NA values
  • Removes samples exeding genes with 0
  • Removes non-expressed genes with average CPM <=0
  • Normalises through TMM method
  • Runs Voom transformation
  • Uses ComBat for Batch correction of voom transformed data
  • Merges duplicates by the mean

In the wiki of this repo the exploratory analysis of the data can be found.

Technical details

R version 3.6.0 (2019-04-26) Platform: x86_64-apple-darwin15.6.0 (64-bit) Running under: macOS Mojave 10.14.5

Packages:

  • data.table 1.12.2
  • dplyr 0.8.1
  • stringr 1.4.0
  • limma 3.40.2
  • sva 3.32.1
  • edgeR 3.26.4
  • ggplot2 3.1.1
  • ggforce 0.2.2
  • ggfortify 0.4.7

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Processing RNAseq data from Cell Lines. From raw data to normalised, voom and ComBat batch-correction

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