Just published👍I’m glad to share: Genomic evidence of two-staged transmission of the early seventh cholera pandemic | Nature Communications @LanlabUnsw #cholera https://t.co/8xWsQpH5Gf
New preprint from @LanlabUNSW! https://t.co/OilCkIUcDl We describe large and small scale trends in global #Bordetella#pertussis populations using a standardised multilevel genome typing (MGT) nomenclature and public database https://t.co/tlNrWJY1Il @LanlabUnsw#microbialgenomics
My latest research on Genomic Epidemiology of Vibrio cholerae O139 is published on Emerging Infectious Diseases journal. Thank you @LanlabUnsw @mjohnpayne @DazhiJin @UNSWBABS #cholera is my favorite forever 😄 https://t.co/KmhhfKVbAY
ShigEiFinder version 1.3 released! Includes fixes and updates that resolve issues raised in this excellent recent paper by @iman__yassine and @weill_xavier https://t.co/JFM4Lt9IEV. Accuracy now over 92% in routine surveillance! @LanlabUnsw#Shigella#EIEC. https://t.co/iMgKZK4VrC
Cluster-specific gene markers enhance Shigella and enteroinvasive Escherichia coli in silico serotyping, from @zxmXiaomei@mjohnpayne@LanlabUnsw and colleagues in #MGen
https://t.co/swL2Virnsy
Interestingly the co-occurrence of Q498R and N501Y (see https://t.co/PMcgtCcLqd) which probably contributes to better binding between #ACE2 and #SARSCoV2, had been structurally investigated for increasing virulence, before the discovery of #omicron.
For rapid access to structural information about the variations in #omicron, we (lab of @seaniod) have created an info graphic: https://t.co/P7F7JVDhFf
Many of the variations are present in structures of #SARSCoV2 or #SARSCoV. Click on the number of structures to view them.
Check our recent paper about genomic characteristics of the emerging foodborne pathogen #Escherichia#albertii from @LanlabUnsw in @micgenomics. About population structure, #virulence genes distribution, the great concern of #MDR. #plasmids#prophages
https://t.co/qR80dzOBDv
New from @zxmXiaomei and @LanlabUnsw in @micgenomics! Specific gene marker sets to identify and distinguish Shigella and EIEC clusters and serotypes. https://t.co/vE0P4nqMcK. Applied in ShigEiFinder, an online and command line tool (>99% accurate): https://t.co/iMgKZJMMdu.