Genetic Analysis Center
Department of Biostatistics
UW Tower Box 359461
4333 Brooklyn Ave NE,
15th Floor
Seattle, WA 98195-9461
I'm a research scientist affiliated with the Genetic Analysis Center at the University of Washington. Our group is the Data Coordinating Center for the NHLBI TOPMed project.
My work focuses on data enablement, with particular focus on genotype variant annotation data. I wrote an R package for parsing output from the WGSA Annotation tool called WGSAParsr. I am active in the Data Commons Pilot Phase Consortium and the Data STAGE projects. I have experience integrating multi-omic data sets to enable biological discovery (e.g. doi:10.1093/jamia/ocv077) and I build cloud-based computational infrastructure.
Previously, my doctoral and postdoctoral research focused on the computational reconstruction of the metabolic network of the yeast Saccharomyces cerevisiae (e.g. doi:10.1089/ind.2012.0002, doi:10.1186/1752-0509-6-55, doi:10.1093/database/bat059). As a postdoc and research scientist at the Institute for Systems Biology, this work refocused towards using metabolic network models as a scaffold for integrating multi-omic data for analysis and discovery.
I am a tech generalist - here's a dump of some technologies I have gained professional experience with: Google Cloud, Amazon Web Services, docker, cluster computing with Sun Grid Engine and StarCluster, shell scripting, full stack web development tools like HTML5, Bootstrap, jQuery, Javascript, Angular JS, and node.js, Matlab, Linux, Solaris, mySQL/mariadb, postgres, oracle, Nagios (back when it was NetSaint), and perhaps most importantly, AOLServer.
Heavner BD, Price ND. 2015. "Comparative Analysis of Yeast Metabolic Network Models Reveals Progress, Opportunities for Metabolic Reconstruction." PLOS Computational Biology. doi:10.1371/journal.pcbi.1004530
Toga AW, Foster I, Kesselman C, Madduri R, Chard K, Deutsch EW, Price ND, Glusman G, Heavner BD, Dinov ID, Ames J, Van Horn J, Kramer R, Hood L. 2015. "Big Biomedical data as the key resource for discovery science." Journal of the American Medical Informatics Association. Ocv077. doi:10.1093/jamia/ocv077
Heavner BD, Price ND. 2015. "Transparency in metabolic network reconstruction enables scalable biological discovery." Current opinion in biotechnology. 34:105-109. doi:10.1016/j.copbio.2014.12.010
Richards MA, Cassen V, Heavner BD, Ajami NE, Hermann A, Simeonidis E, Price ND. 2014. "MediaDB: A Database of Microbial Growth Conditions in Defined Media." PLOS one 2014, no. 9 e103548. doi:10.1371/journal.pone.0103548
Heavner BD, Smallbone K, Price ND, Walker LP. 2013. "Version 6 of the Consensus Yeast Metabolic Network Refines Biochemical Coverage and Improves Model Performance." Database 2013, no. 0 (August 9, 2013): bat059-bat059. doi:10.1093/database/bat059
Heavner B.D., Smallbone K., Barker B., Mendes P., Walker L.P. 2012. "Yeast 5 - an expanded reconstruction of the Saccharomyces cerevisiae metabolic network." BMC Systems Biology, 6:55. [doi:10.1186/1752-0509-6-55]
Heavner B.D., Henry S.A., and Walker L.P. 2012. "Evaluating Sphingolipid Biochemistry in the Consensus Reconstruction of Yeast Metabolism." Industrial Biotechnology, 8(2):72-78. [doi:10.1089/ind.2012.0002]
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