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. Gene expression profiles of myeloblasts from 48 cases of pediatric acute myeloid leukemia