Richard Allen White III, Ph.D.
Office: Life Sciences 432
We are computational and molecular microbiologists that study complex microbial ecosystems (including viruses, bacteria, archaea, and microbial eukaryotes) using multi-omics technologies (such as metagenomics, metatranscriptomics, metaproteomics, and metametabolomics) to understand and solve global challenges. Our model systems include soils/rhizospheres, plants, humans and microbialites/microbial mats. We have interests in ancient DNA, forensic science, big data using high performance computing (HPC), in order to solve historical problems using modern multiomics.
Google Scholar profile
2014, Ph.D. Microbiology and Immunology, University of British Columbia, Vancouver, BC
2009, M.S. Biology (thesis of molecular virology), California State University East Bay, Hayward, CA
2007, B.S. Cell and Molecular Biology, California State University East Bay, Hayward, CA
2014-2017, Postdoctoral fellow, Computational multiomics of complex microbial ecosystems, Pacific Northwest National Lab (PNNL), Richland, WA
Dr. White III is a computational and molecular microbiologist/virologist that is an assistant professor in the Department of Biological Sciences at Idaho State University in Pocatello, Idaho. He was postdoctoral fellow at the Pacific Northwest National Lab (PNNL) doing computational multiomics in soil and rhizosphere ecosystems under Janet and Christer Jansson on the Microbiome in Transitions (MinT) and Integrated Plant Atmosphere Soil Science Initiatives (iPASS). Dr. White III has led the metaproteomics efforts of the human gut under Inflammatory bowel disease (IBD) as part of the integrated human microbiome project (iHMP). Dr. White III has diverse research portfolio in Environmental Microbiology, Computational Biology, Virology, and Multiomics technologies. His work spans computation, omics, microbial metabolism, molecular biology, and ecology, and his research group explores a variety of topics. Currently, working on completion of the Red Alder genome, transcriptome and proteome. His other model systems complex microbial and viral communities in the rhizosphere of apple orchards and the human microbiome (mainly gut and mouth) relating to diet and obesity. Dr. White III has published in high impact journals including Science, Nature, PNAS, and ISME. His research has been presented at national and international conferences related to the fields of microbiology, omics, virology, and computational biology. His collaborators span five continents (including Germany/Austria, South Africa, Australia, China/Japan, and in Central Mexico and South America – Argentina). The overarching goal of his research is to understand, interpret, and design future microbiomes that provide healthy human bodies, productive fields, and clean green environments through computational and molecular multiomics.
BIOL 2235 General Microbiology
BIOL 4475/5575 General Virology
BIOL 4469 Special Topics in Microbiology
BIOL 5569 Special Topics in Microbiology (Laboratory)
White III RA, Rivas-Ubach A, Borkum MI, Köberl M, Bilbao A, Colby SM, Hoyt DW, Bingol K, Kim YM, Wendler JP, Hixson KK, Jansson C. (2017). The state of rhizospheric science in the era of multi-omics: A practical guide to omics technologies Rhizosphere http://dx.doi.org/10.1016/j.rhisph.2017.05.003
White III RA, Borkum MI, Rivas-Ubach A, Bilbao A, Wendler JP, Colby SM, Köberl M, Jansson C. (2017). From data to knowledge: The future of multi-omics data analysis for the rhizosphere Rhizosphere http://dx.doi.org/10.1016/j.rhisph.2017.05.001
White III RA, Brown J, Colby S, Overall CC, Lee J, Zucker J, Glaesemann KR, Jansson C, Jansson JK. (2017). ATLAS (Automatic Tool for Local Assembly Structures) a comprehensive infrastructure for assembly, annotation, and genomic binning of metagenomic and metatranscriptomic data. PeerJ Preprints 5:e2843v1 https://doi.org/10.7287/peerj.preprints.2843v1
White III RA, Panyala A, Glass K, Colby S, Glaesemann KR, Jansson C Jansson JK. (2017). MerCat: a versatile k-mer counter and diversity estimator for database-independent property analysis obtained from metagenomic and/or metatranscriptomic sequencing data. PeerJ Preprints 5:e2825v1 https://doi.org/10.7287/peerj.preprints.2825v1
White III RA, Callister SJ, Baker ES, Jansson JK. (2016). A glance at past, present and future microbiome analysis technologies and studies. Nature Protocols 11, 2049-2053. https://www.nature.com/nprot/journal/v11/n11/pdf/nprot.2016.148.pdf
Pocatello, ID 83209-8007