Fangzhou Li joins the lab!
November 5, 2019
Fang joins the lab as a junior specialist in November, 2019! Fang will start his Ph.D. from Fall 2020!
Fangzhou Li joins the lab!
Navneet Rai presented poster at the Synthetic Biology: Engineering, Evolution & Design (SEED), New York.
June 23, 2019
Our lab member Navneet Rai presented a poster describing the application of Optimal Experimental Design to Omics Experimentation at the Synthetic Biology: Engineering, Evolution & Design (SEED), New York.
New article in Applied and Environmental Microbiology
April 29, 2019
A new publication from Beatriz Pereira and Dr. Ilias Tagkopoulos reviewing benzalkonium chlorides (BACs). The review overviewed the current market and regulations of BACs as well as available safety data and the correlation between BACs and increasing of microbial tolerance to chemicals. The work suggested a role of BACs in generating selective environments that favor […]
Bo Mi Lee joins the lab!
April 15, 2019
Bo Mi joins the Lab as a postdoctoral fellow!
New article in Clinical Immunology
March 25, 2019
A new publication from our lab with Ki-Jo, Minseung, Iannis and Prof. Tagkopoulos on curating a Rheumatoid arthritis (RA) synovial genome-scale transcriptomic profiles which cover an intersection of 11769 genes from 11 datasets. Three clusters with different pathway signatures are observed and the prediction model using gene expression level as input for drug effectiveness are […]
New article in Biotechnology and Bioengineering
February 2, 2019
A new publication from our lab with Navneet, Linh, Minseung and Prof. Tagkopoulos on observing a reproducible phenomenon of abrupt population decrease followed by a rapid increase during long‐term chemostat cultivations in specific E.coli strains. Genetic basis of this phenomenon is identified by genome and transcription profiling. Rai, Navneet, et al. “Population collapse and adaptive rescue […]
New article in The Korean Journal of Internal Medicine
February 2, 2019
A new publication from our lab with Ki-Jo and Prof. Tagkopoulos on reviewing different machine approaches for clinical data analysis in rheumatic diseases research. Kim, Ki-Jo, and Ilias Tagkopoulos. “Application of machine learning in rheumatic disease research.” The Korean journal of internal medicine(2018). doi:10.3904/kjim.2018.349 (link)