GSE192638
Transcriptome Analysis of Pediatric Acute Myeloid Leukemia
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. Overall design: Gene expression profiles of myeloblasts from 48 cases of pediatric acute myeloid leukemia