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Funding & Research Support

Research depends on different kinds of support. Computing allocations, sponsored awards, and controlled-data access serve distinct purposes; they are not interchangeable measures of grant funding.

Computing for research and education

Digital Biology has received national computing allocations through XSEDE and ACCESS under BIO210035, with entries spanning 2021–2026. These resources support hands-on computational training and the use of shared scientific infrastructure.

Selected support spans molecular genetics, genomics, interdisciplinary software, and undergraduate research:

  • Molecular genetics and cell biology: NIH-supported studies of meiotic trans-sensing and silencing, and coupling protein synthesis with cell division.
  • Reproducible scientific infrastructure: Materials Galaxy workflow-management projects and institutional Big Data seed support.
  • Research and education: the Aggie Undergraduate Genomics Corps, interdisciplinary collaborations, and Texas A&M seed awards.

Authorized research-data access

NIH/NCBI dbGaP authorizations supported investigations of structural variation and gene structure. These entries document controlled-data access, not monetary awards.

Detailed record

The original award and access entries are retained below for reference. Dates describe recorded support, not necessarily currently active awards.

Expand the complete support record
  1. Aramayo R. Digital Biology - BIO210035. Texas A&M University: Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) - National Science Foundation (NSF); 2026.
  2. Aramayo R. ACCESS Allocation Request BIO210035. Texas A&M University: Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) - National Science Foundation (NSF); 2025.
  3. Aramayo R. Digital Biology - BIO210035. Texas A&M University: Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) - National Science Foundation (NSF); 2024.
  4. Aramayo R. Digital Biology - BIO210035. Texas A&M University: Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) - National Science Foundation (NSF); 2023.
  5. Aramayo R, Thakar H. Type I - An Exploration on the Authenticity of the Ancient Triactyl Peruvian Mummies Using Radiocarbon Dating and Potential Genetic Characterization. Texas A&M University: Seed Grant Program for Promoting Research Collaborations (College of Liberal Arts, College of Science, and College of Geosciences); 2022.
  6. Aramayo R. Digital Biology - BIO210035. Texas A&M University: Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) - National Science Foundation (NSF); 2022.
  7. Aramayo R. Digital Biology - BIO210035. Texas A&M University: The Extreme Science and Engineering Discovery Environment (XSEDE) - National Science Foundation (NSF); 2021.
  8. Aramayo R, Smith L. Drug Use and Abuse: Defining How Cocaine Affects the Addition of Wild-Type and Fragile X Mental Retardation-1 Mutants Texas A&M University: Texas A&M University. College of Sciences (COS) FY19 - Strategic Transformative Research Program 2019.
  9. Posada JR, Aramayo R, Medina R. Characterizing The RNAs And DNAs Populations In Eggs As Tools To Assess Honey Bee Queen Fertility. Texas A&M University: T3 – Texas A&M Triads for Transformation; 2018.
  10. Polymenis M, Aramayo R, Kennedy B. Coupling of Protein Synthesis with Cell Division. Texas A&M University: R01 GM123139-01, National Institutes of Health; 2017.
  11. Aramayo R. Computational Detection of Novel Structural Variants in Cancer Genomes. Texas A&M University: dbGaP: 18340, National Institutes of Health - NCBI; 2017.
  12. Aramayo R. Molecular Structure of the Monoamine Oxidase A (MAOA) Gene In Patients Diagnosed with Antisocial Personality Disorder. Texas A&M University: dbGaP: 18414, National Institutes of Health - NCBI; 2017.
  13. Aramayo R. Computational Detection of Structural Variants Present in Standard Somatic Reference and Cancer Genomes. Texas A&M University: dbGap: 19769, National Institutes of Health - NCBI; 2017.
  14. Aramayo R, Arroyave R, Gutierrez-Osuna R. Development of “Big Data” Scientific Workflow Management Tools for the Materials Genome Initiative: Materials Galaxy. Texas A&M University: Interdisciplinary Seed Grants in Big Data program of the Texas A&M Engineering Experiment Station and the Dwight Look College of Engineering in partnership with Texas A&M University Division of Research; 2014.
  15. Aramayo R, Arroyave R. Materials Science Galaxy: A Web-based Materials Scientific Workflow Management System. Texas A&M University: Department of Materials Sciences. Texas A&M University; 2014.
  16. Aramayo R. Advancing Big Data in Science. Texas A&M University: Texas A&M University: 230082, VPR Seed Grant; 2014.
  17. Aramayo R. The Aggie Undergraduate Genomics Corps (AUGC): A catalytic concept for advancing undergraduate biological education at Texas A&M. Texas A&M University: Texas A&M University: 246049, Tier One Program (TOP) 2012.
  18. Aramayo R. Genetic and Molecular Study of Meiotic Trans-sensing and Meiotic Silencing. Texas A&M University: RGM058770, National Institutes of Health; 1999.