Welcome to the Bioinformatics Research Lab!
1. American Diabetes Association - Mechanism of mircobiome-induced insulin resistance in humans (2013-2016), subcontracted to perform metagenoimcs data analysis.
2. NIH Genomic Prediction of Chronic Pulmonary Inflammation in HIV Infection (2013-2018), subcontracted to perform bioinformatics data analysis.
3. NSF Natural variation and drought responses in developing maize inflorescences (2013-2018) subcontracted to develop an integrated maize genomics database.
4. NIH Diversity and dynamic stability of the ocular surface microbiome (2012-2017), subcontracted to develop bioinformatics tools and provide data analysis for characterizing ocular surface microbiome.
5. NIH Lung Microbiome and Pulmonary Inflammation/Immunity in HIV Infections (2009-2014) subcontracted to develop bioinformatics tools and provide data analysis for characterizing the respiratory microbiome in HIV-infected using high-throughput 16S rDNA and metagenomics sequencing.
6. NIH The urethral microbiome in adolescent males (2009-2013) subcontracted to develop bioinformatics tools and provide data analysis for characterizing the male urethral microbiome in longitudinal urine samples collected from adolescent males using high-throughput 16S rDNA and metagenomics sequencing.
7. NIH Investigation of Cloud Computing to Support Data-Parallel Health Research (2009-2011) subcontracted to develop bioinformatics applications to Cloud computing architectures.
Participating in real-world research is the only way to become a true bioinformatician. If you are self-motivated and interested in bioinformatics, you may be able to be part of this opportunity. We have many interesting short-term and long-term projects available in biology, statistics, and computer-science.
Cohen, C., Toh, E., Munro, D., Dong, Q., Hawlena, H. (2015) Similarities and seasonal variations in bacterial communities from the blood of rodents and from their flea vectors. ISME J. 2015 Jan 9. doi: 10.1038/ismej.2014.255. [Epub ahead of print]
Nienhouse, V., Gao, X., Dong, Q., Nelson, DE., Toh, E., McKinley, K., Schreckenberger, P., Shibata, N., Fok, SC., Mueller, ER., Brubaker, L., Wolfe, AJ., & Radek, KA. (2014) Interplay between Bladder Microbiota and Urinary Antimicrobial Peptides: Mechanisms for Human Urinary Tract Risk Symptom Severity. PLoS ONE 9(12): e114185. doi: 10.1371/journal.pone.0114185
(2014) Association of Host and Microbial Species Diversity across Spatial Scales in Desert Rodent Communities. PLoS ONE 9(10): e109677. doi: 10.1371/journal.pone.0109677
Vilo, C., Benedik, M.J., Ilori, M. and Dong, Q. (2014) Draft genome sequence of Cupriavidus sp. strain SK-4, a di-ortho-substituted biphenyl utilizing bacterium, isolated from polychlorinated biphenyl contaminated sludge. Genome Announcements, in press
Jones AM., Xuan Y., Xu M., Wang RS., Ho CH., Lalonde S., You CH., Sardi MI., Parsa SA., Smith-Valle E., Su T., Frazer KA., Pilot G., Pratelli R., Grossmann G., Acharya BR., Hu HC., Engineer C., Villiers F., Ju C., Takeda K., Su Z., Dong. Q., Assmann SM., Chen J., Kwak JM., Schroeder J., Albert R., Rhee SY. & Frommer WB. (2014) Border control – a membrane-linked interactiome of Arabidopsis. Science, in press.
Twigg HL 3rd, Nelson DE, Day RB, Gregory RL,Dong, Q., Rong R, Knox K, Crothers K, Sodergren E, Weinstock G. (2014) Comparison of whole and acellular bronchoalveolar lavage to oral wash microbiomes. Should acellular bronchoalveolar lavage be the standard? AST Journal, Ann Am Thorac Soc. 2014 Jan;11 Suppl 1:S72-3. doi: 10.1513/AnnalsATS.201306-162MG.