Transcriptomics

Dataset Information

Transcriptome Analysis of Pediatric Acute Myeloid Leukemia


ABSTRACT: Purpose: This study aimed to generate a whole transcriptome dataset for children with acute myeloid leukemia Methods: RNA-seq data were generated by deep sequencing using Illumina. The sequence reads that passed quality filters were analyzed. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the human genome (buildhg38) and annotated with ensemble release 100.

ORGANISM(S): Homo sapiens

PROVIDER: GSE192638 | GEO | 2022/08/16

REPOSITORIES: GEO

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