The significance of different algorithms in transcriptome analysis of leukemic cells with rearranged MLL (gene expression)

ABSTRACT: This study shows how the way by which the RNA-Seq data is analyzed affects the resulting gene expression profile. Three parameters were explored: the RNA-Seq analysis algorithm pipeline (cufflinks – Cuffdiff 2 or HTSeq & DESeq), sequencing depth and sequencing protocol: single or paired end, 100 or 50 bases. For comparison, the same samples were processed by gene microarrays.

ORGANISM(S): Homo sapiens

PROVIDER: GSE54604 | GEO | 2017/02/01

SECONDARY ACCESSION(S): PRJNA237245

REPOSITORIES: GEO