A comparative study of RNA-Seq and microarray data analysis on the two examples of rectal-cancer patients and Burkitt Lymphoma cells.

Alexander WolffMichaela BayerlováJochen GaedckeDieter KubeTim Beißbarth

Published in: PloS one (2018)

In conclusion the combination of STAR aligner with HTSeq-Count followed by STAR aligner with RSEM and Sailfish generated differentially expressed genes best suited for the dataset at hand and in agreement with most of the other transcriptomics pipelines.

Keyphrases

rna seq
single cell
data analysis
induced apoptosis
cell cycle arrest
bioinformatics analysis
genome wide
rectal cancer
oxidative stress
signaling pathway
peripheral blood
endoplasmic reticulum stress
cell death
pi k akt