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Leukemia|March 30, 2022
RNAseqCNV: analysis of large-scale copy number variations from RNA-seq dataJan Bařinka, Zunsong Hu, Lu Wang, et al.Biorxiv : the Preprint Server for Biology|September 2, 2025
CanID: a robust and accurate RNAseq Expression-based diagnostic classification scheme for pediatric malignanciesDaniel K Putnam, Alexander M Gout, Delaram Rahbarinia, et al.Genomics, Proteomics & Bioinformatics|November 29, 2025
CanID: A Robust and Accurate RNA-seq Expression-based Diagnostic Classification Scheme for Pediatric MalignanciesDaniel K Putnam, Alexander M Gout, Delaram Rahbarinia, et al.Cancer Cell|March 13, 2026
The landscape of structural variation in pediatric cancerRobert Greenhalgh, Samuel W Brady, Wentao Yang, et al.Research Square|July 3, 2023
Proposal of a new genomic framework for categorization of pediatric acute myeloid leukemia associated with prognosisMasayuki Umeda, Jing Ma, Tamara Westover, et al.Nature Genetics|January 11, 2024
A new genomic framework to categorize pediatric acute myeloid leukemiaMasayuki Umeda, Jing Ma, Tamara Westover, et al.Cell Reports Methods|November 19, 2025
Fast and sensitive detection of targeted gene fusions using frequency minimizers and fuzzy pattern matching with Fuzzion2Stephen V Rice, Michael N Edmonson, Xiaolong Chen, et al.Blood Cancer Discovery|February 17, 2022
Integrated Genomic Analysis Identifies UBTF Tandem Duplications as a Recurrent Lesion in Pediatric Acute Myeloid LeukemiaMasayuki Umeda, Jing Ma, Benjamin J Huang, et al.Cancer Discovery|July 24, 2021
Genomes for Kids: The Scope of Pathogenic Mutations in Pediatric Cancer Revealed by Comprehensive DNA and RNA SequencingScott Newman, Joy Nakitandwe, Chimene A Kesserwan, et al.Cancer Discovery|January 7, 2021
St. Jude Cloud: A Pediatric Cancer Genomic Data-Sharing EcosystemClay McLeod, Alexander M Gout, Xin Zhou, et al.Pageof 1