William Majoros

Assistant Professor of Biostatistics & Bioinformatics

William H. Majoros, PhD, is an Assistant Professor of Biostatistics and Bioinformatics.

Appointments and Affiliations

  • Assistant Professor of Biostatistics & Bioinformatics

Contact Information

  • Office Location: 101 Science Drive, 2187 CIEMAS, Research Drive, Durham, NC 27708
  • Email Address: william.majoros@duke.edu

Education

  • Ph.D. Duke University, 2017

Research Interests

  • Probabilistic machine learning
  • Bayesian graphical models
  • Structured prediction
  • Interpretation/prioritization of genetic variants in disease
  • RNA splicing
  • Gene regulation
  • Computational linguistics - formal grammars and parsing
  • Syntactic structure and memetic evolution in complex bird song

Courses Taught

  • COMPSCI 763: Graphical Models for Biological Data
  • COMPSCI 561: Computational Sequence Biology
  • COMPSCI 394: Research Independent Study
  • COMPSCI 393: Research Independent Study
  • COMPSCI 260: Introduction to Computational Genomics
  • CBB 914: Graphical Models for Biological Data
  • CBB 561: Computational Sequence Biology
  • BIOSTAT 914: Graphical Models for Biological Data
  • BIOSTAT 707: Statistical Methods for Learning and Discovery

Representative Publications

  • Zou, Xue, Zachary W. Gomez, Timothy E. Reddy, Andrew S. Allen, and William H. Majoros. “Bayesian Estimation of Allele-Specific Expression in the Presence of Phasing Uncertainty.” BioRxiv, August 13, 2024. https://doi.org/10.1101/2024.08.09.607371.
  • Pickar-Oliver, Adrian, Veronica Gough, Joel D. Bohning, Siyan Liu, Jacqueline N. Robinson-Hamm, Heather Daniels, William H. Majoros, Garth Devlin, Aravind Asokan, and Charles A. Gersbach. “Full-length dystrophin restoration via targeted exon integration by AAV-CRISPR in a humanized mouse model of Duchenne muscular dystrophy.” Mol Ther 29, no. 11 (November 3, 2021): 3243–57. https://doi.org/10.1016/j.ymthe.2021.09.003.
  • Majoros, William H., Young-Sook Kim, Alejandro Barrera, Fan Li, Xingyan Wang, Sarah J. Cunningham, Graham D. Johnson, et al. “Bayesian estimation of genetic regulatory effects in high-throughput reporter assays.” Bioinformatics 36, no. 2 (January 15, 2020): 331–38. https://doi.org/10.1093/bioinformatics/btz545.
  • Edsall, Lee E., Alejandro Berrio, William H. Majoros, Devjanee Swain-Lenz, Shauna Morrow, Yoichiro Shibata, Alexias Safi, Gregory A. Wray, Gregory E. Crawford, and Andrew S. Allen. “Evaluating Chromatin Accessibility Differences Across Multiple Primate Species Using a Joint Modeling Approach.” Genome Biol Evol 11, no. 10 (October 1, 2019): 3035–53. https://doi.org/10.1093/gbe/evz218.
  • Johnson, Graham D., Alejandro Barrera, Ian C. McDowell, Anthony M. D’Ippolito, William H. Majoros, Christopher M. Vockley, Xingyan Wang, Andrew S. Allen, and Timothy E. Reddy. “Human genome-wide measurement of drug-responsive regulatory activity.” Nat Commun 9, no. 1 (December 21, 2018): 5317. https://doi.org/10.1038/s41467-018-07607-x.