| A comprehensive transcriptional portrait of human cancer cell lines C Klijn, S Durinck, EW Stawiski, PM Haverty, Z Jiang, H Liu, J Degenhardt, ... Nature biotechnology 33 (3), 306-312, 2015 | 662 | 2015 |
| RNA-directed DNA methylation enforces boundaries between heterochromatin and euchromatin in the maize genome Q Li, JI Gent, G Zynda, J Song, I Makarevitch, CD Hirsch, CN Hirsch, ... Proceedings of the National Academy of Sciences 112 (47), 14728-14733, 2015 | 207 | 2015 |
| Examining the causes and consequences of context-specific differential DNA methylation in maize Q Li, J Song, PT West, G Zynda, SR Eichten, MW Vaughn, NM Springer Plant physiology 168 (4), 1262-1274, 2015 | 71 | 2015 |
| Genome-wide analysis of the Arabidopsis replication timing program L Concia, AM Brooks, E Wheeler, GJ Zynda, EE Wear, C LeBlanc, J Song, ... Plant physiology 176 (3), 2166-2185, 2018 | 38 | 2018 |
| Subtle perturbations of the maize methylome reveal genes and transposons silenced by chromomethylase or RNA-directed DNA methylation pathways SN Anderson, GJ Zynda, J Song, Z Han, MW Vaughn, Q Li, NM Springer G3: Genes, Genomes, Genetics 8 (6), 1921-1932, 2018 | 31 | 2018 |
| Genomic Analysis of the DNA Replication Timing Program during Mitotic S Phase in Maize (Zea mays) Root Tips EE Wear, J Song, GJ Zynda, C LeBlanc, TJ Lee, L Mickelson-Young, ... The Plant Cell 29 (9), 2126-2149, 2017 | 30 | 2017 |
| Repliscan: a tool for classifying replication timing regions GJ Zynda, J Song, L Concia, EE Wear, L Hanley-Bowdoin, WF Thompson, ... BMC bioinformatics 18, 1-14, 2017 | 14 | 2017 |
| Integrating jupyter into research computing ecosystems: Challenges and successes in architecting jupyterhub for collaborative research computing ecosystems J Stubbs, J Looney, M Poindexter, E Chalhoub, GJ Zynda, ES Ferlanti, ... Practice and Experience in Advanced Research Computing, 91-98, 2020 | 9 | 2020 |
| Containerization on petascale HPC clusters A Ruhela, M Vaughn, SL Harrell, GJ Zynda, J Fonner, RT Evans, ... State of Practice talk in International Conference for High Performance …, 2020 | 8 | 2020 |
| Characterizing containerized HPC applications performance at petascale on CPU and GPU architectures A Ruhela, SL Harrell, RT Evans, GJ Zynda, J Fonner, M Vaughn, ... High Performance Computing: 36th International Conference, ISC High …, 2021 | 6 | 2021 |
| Bisulfite sequence analyses using CyVerse discovery environment: from mapping to DMRs J Song, G Zynda, S Beck, NM Springer, MW Vaughn Current protocols in plant biology 1 (3), 510-529, 2016 | 5 | 2016 |
| RollingGantryCrane: Automation for unpacking containers into HPC environments GJ Zynda, S Gopaulakrishnan, J Fonner 2021 3rd International Workshop on Containers and New Orchestration …, 2021 | 3 | 2021 |
| Comparing DNA replication programs reveals large timing shifts at centromeres of endocycling cells in maize roots EE Wear, J Song, GJ Zynda, L Mickelson-Young, C LeBlanc, TJ Lee, ... PLoS Genetics 16 (10), e1008623, 2020 | 3 | 2020 |
| Early COVID-19 pandemic modeling: Three compartmental model case studies from Texas, USA KA Pierce, E Ho, X Wang, R Pasco, Z Du, G Zynda, J Song, G Wells, ... Computing in science & engineering 23 (1), 25-34, 2020 | 1 | 2020 |
| COVID-19 healthcare demand projections: Beaumont-Port Arthur MSA, Texas K Pierce, E Ho, X Wang, R Pasco, Z Du, S Fox, G Zynda, J Song, ... UT COVID-19 Model. Consortium 10, 2020 | 1 | 2020 |
| COVID-19 healthcare demand projections: Houston-The Woodlands-Sugarland MSA, Texas K Pierce, E Ho, X Wang, R Pasco, Z Du, S Fox, G Zynda, J Song, ... UT COVID-19 Model. Consortium 10, 2020 | 1 | 2020 |
| Feature frequency profiles for automatic sample identification using pyspark G Zynda, N Gaffney, M Dalkilic, M Vaughn Proceedings of the 5th Workshop on Python for High-Performance and …, 2015 | 1 | 2015 |
| A protocol for genome-wide analysis of DNA replication timing in intact root tips L Mickelson-Young, EE Wear, J Song, GJ Zynda, L Hanley-Bowdoin, ... Plant Cell Division: Methods and Protocols, 29-72, 2022 | | 2022 |
| Combining DNA Methylation with Deep Learning Improves Sensitivity and Accuracy of Eukaryotic Genome Annotation GJ Zynda Indiana University, 2020 | | 2020 |
| IEEE| DOI YTS Chang, M Drocco, JM Fonner, S Gopaulakrishnan, K Hanley, ... | | |
