Hurwitz, B. L., Hallam, S. J., & Sullivan, M. B. (2013). Metabolic reprogramming by viruses in the sunlit and dark ocean. Genome biology, 14(11), R123.
Marine ecosystem function is largely determined by matter and energy transformations mediated by microbial community interaction networks. Viral infection modulates network properties through mortality, gene transfer and metabolic reprogramming.
Bolduc, B., Youens-Clark, K., Roux, S., Hurwitz, B. L., & Sullivan, M. B. (2017). iVirus: facilitating new insights in viral ecology with software and community data sets imbedded in a cyberinfrastructure. The ISME journal, 11(1), 7-14.
Microbes affect nutrient and energy transformations throughout the world's ecosystems, yet they do so under viral constraints. In complex communities, viral metagenome (virome) sequencing is transforming our ability to quantify viral diversity and impacts. Although some bottlenecks, for example, few reference genomes and nonquantitative viromics, have been overcome, the void of centralized data sets and specialized tools now prevents viromics from being broadly applied to answer fundamental ecological questions. Here we present iVirus, a community resource that leverages the CyVerse cyberinfrastructure to provide access to viromic tools and data sets. The iVirus Data Commons contains both raw and processed data from 1866 samples and 73 projects derived from global ocean expeditions, as well as existing and legacy public repositories. Through the CyVerse Discovery Environment, users can interrogate these data sets using existing analytical tools (software applications known as 'Apps') for assembly, open reading frame prediction and annotation, as well as several new Apps specifically developed for analyzing viromes. Because Apps are web based and powered by CyVerse supercomputing resources, they enable scalable analyses for a broad user base. Finally, a use-case scenario documents how to apply these advances toward new data. This growing iVirus resource should help researchers utilize viromics as yet another tool to elucidate viral roles in nature.
Rankin, T. M., Giovinco, N. A., Cucher, D. J., Watts, G., Hurwitz, B., & Armstrong, D. G. (2014). Three-dimensional printing surgical instruments: are we there yet?. The Journal of surgical research, 189(2), 193-7.
The applications for rapid prototyping have expanded dramatically over the last 20 y. In recent years, additive manufacturing has been intensely investigated for surgical implants, tissue scaffolds, and organs. There is, however, scant literature to date that has investigated the viability of three-dimensional (3D) printing of surgical instruments.
Choi, I., Youens-Clark, K., Hartman, J. H., & Hurwitz, B. L. (2016). Libra: Massive Comparative Metagenomics using Hadoop MapReduce. Genome Biology.
Kim, H., Hurwitz, B., Yu, Y., Collura, K., Gill, N., SanMiguel, P., Mullikin, J. C., Maher, C., Nelson, W., Wissotski, M., Braidotti, M., Kudrna, D., Goicoechea, J. L., Stein, L., Ware, D., Jackson, S. A., Soderlund, C., & Wing, R. A. (2008). Construction, alignment and analysis of twelve framework physical maps that represent the ten genome types of the genus Oryza. Genome biology, 9(2), R45.
We describe the establishment and analysis of a genus-wide comparative framework composed of 12 bacterial artificial chromosome fingerprint and end-sequenced physical maps representing the 10 genome types of Oryza aligned to the O. sativa ssp. japonica reference genome sequence. Over 932 Mb of end sequence was analyzed for repeats, simple sequence repeats, miRNA and single nucleotide variations, providing the most extensive analysis of Oryza sequence to date.
