| Mayfly phylogenomics: Initial evaluation of anchored hybrid enrichment data for the order Ephemeroptera TH Ogden, JW Breinholt, SM Bybee, DB Miller, M Sartori, D Shiozawa, ... Zoosymposia 16, 167–181-167–181, 2019 | 30 | 2019 |
| Anchored phylogenomics of burrowing mayflies (Ephemeroptera) and the evolution of tusks DB Miller, S Bartlett, M Sartori, JW Breinholt, TH Ogden Systematic Entomology 43 (4), 692-701, 2018 | 18 | 2018 |
| Compound heterozygous variants in pediatric cancers: a systematic review DB Miller, SR Piccolo Frontiers in Genetics 11, 535092, 2020 | 12 | 2020 |
| The ability to classify patients based on gene-expression data varies by algorithm and performance metric SR Piccolo, A Mecham, NP Golightly, JL Johnson, DB Miller PLoS computational biology 18 (3), e1009926, 2022 | 7 | 2022 |
| A survey of compound heterozygous variants in pediatric cancers and structural birth defects DB Miller, SR Piccolo Frontiers in Genetics 12, 640242, 2021 | 7 | 2021 |
| CompoundHetVIP: compound heterozygous variant identification pipeline DB Miller, SR Piccolo F1000Research 9, 2020 | 6 | 2020 |
| trioPhaser: using Mendelian inheritance logic to improve genomic phasing of trios DB Miller, SR Piccolo BMC bioinformatics 22, 1-8, 2021 | 3 | 2021 |
| Benchmarking 50 classification algorithms on 50 gene-expression datasets SR Piccolo, A Mecham, NP Golightly, JL Johnson, DB Miller bioRxiv, 2021.05. 07.442940, 2021 | 2 | 2021 |
| Toward a methodology for evaluating DNA variants in nuclear families DB Miller, R Robison, SR Piccolo Plos one 16 (10), e0258375, 2021 | | 2021 |
| Using Phased Whole Genome Sequence Data to Better Understand the Role of Compound-Heterozygous Variants in Pediatric Diseases DB Miller Brigham Young University, 2021 | | 2021 |
