Dana C. Crawford

Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie: Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View. BioData Mining 5: 5 (2012)

Hua Xu, Min Jiang, Matt Oetjens, Erica A. Bowton, Andrea H. Ramirez, Janina M. Jeff, Melissa A. Basford, Jill M. Pulley, James D. Cowan, Xiaoming Wang, Marylyn D. Ritchie, Daniel R. Masys, Dan M. Roden, Dana C. Crawford, Joshua C. Denny: Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin. JAMIA 18(4): 387-391 (2011)

Sarah A. Pendergrass, Scott M. Dudek, Dan M. Roden, Dana C. Crawford, Marylyn D. Ritchie: Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View. Pacific Symposium on Biocomputing 2011: 265-275

Sarah A. Pendergrass, Scott M. Dudek, Dana C. Crawford, Marylyn D. Ritchie: Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. BioData Mining 3: 10 (2010)

Joshua C. Denny, Marylyn D. Ritchie, Melissa A. Basford, Jill M. Pulley, Lisa Bastarache, Kristin Brown-Gentry, Deede Wang, Daniel R. Masys, Dan M. Roden, Dana C. Crawford: PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics 26(9): 1205-1210 (2010)