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Title: comparative transcriptomics and co-expression database for bacterial pathogens
Authors: Lim, Peng Ken
Davey, Emilia Emmanuelle
Wee, Sean
Seetoh, Wei Song
Goh, Jong Ching
Zheng, Xinghai
Phang, Sean Kia Ann
Seah, Eugene Sheng Kai
Ng, Janice Wan Zhen
Wee, Xavier Jia Hui
Quek, Aloysius Jun Hui
Lim, Jordan JingHeng
Rodrigues, Edbert Edric
Lee, Heesoo
Lim, Chin Yong
Tan, Wei Zhi
Dan, Yuet Ruh
Lee, Bronson
Chee, Samuel En Le
Lim, Zachary Ze En
Guan, Jia Sheng
Tan, Ivan Jia Le
Arong, Trinidad Jeremiah
Mutwil, Marek
Keywords: Science::Biological sciences
Issue Date: 2022
Source: Lim, P. K., Davey, E. E., Wee, S., Seetoh, W. S., Goh, J. C., Zheng, X., Phang, S. K. A., Seah, E. S. K., Ng, J. W. Z., Wee, X. J. H., Quek, A. J. H., Lim, J. J., Rodrigues, E. E., Lee, H., Lim, C. Y., Tan, W. Z., Dan, Y. R., Lee, B., Chee, S. E. L., ...Mutwil, M. (2022). comparative transcriptomics and co-expression database for bacterial pathogens. Journal of Molecular Biology, 434(11), 167380-.
Journal: Journal of Molecular Biology 
Abstract: While bacteria can be beneficial to our health, their deadly pathogenic potential has been an ever-present concern exacerbated by the emergence of drug-resistant strains. As such, there is a pressing urgency for an enhanced understanding of their gene function and regulation, which could mediate the development of novel antimicrobials. Transcriptomic analyses have been established as insightful and indispensable to the functional characterization of genes and identification of new biological pathways, but in the context of bacterial studies, they remain limited to species-specific datasets. To address this, we integrated the genomic and transcriptomic data of the 17 most notorious and researched bacterial pathogens, creating, an interactive database that can identify, visualize, and compare gene expression profiles, coexpression networks, functionally enriched clusters, and gene families across species. Through illustrating antibiotic resistance mechanisms in P. aeruginosa, we demonstrate that could potentially aid in discovering multi-faceted antibiotic targets and, overall, facilitate future bacterial research. AVAILABILITY: The database and coexpression networks are freely available from Sample annotations can be found in the supplemental data.
ISSN: 0022-2836
DOI: 10.1016/j.jmb.2021.167380
Schools: School of Biological Sciences 
Rights: © 2021 Elsevier Ltd.. All rights reserved. This paper was published in Journal of Molecular Biology and is made available with permission of Elsevier Ltd.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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