Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The significance of different algorithms in transcriptome analysis of leukemic cells with rearranged MLL

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE54654 | GEO | 2017/02/01

SECONDARY ACCESSION(S): PRJNA237292

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The significance of different algorithms in transcriptome analysis of leukemic cells with rearranged MLL (RNA-seq)

Project description: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.

2017-02-01 | GSE54641 | GEO

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

2017-02-01 | GSE54604 | GEO