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Zhi-Luo Deng on Muck Rack

Zhi-Luo Deng

As seen in: Genome Biology, BioRxiv
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Articles

Detection of Paracoccus yeei in Spontaneous Bacterial Peritonitis using Rapid, Long Read Sequencing

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By Nasim Safaei, Zhi-Luo Deng, Valerie Ohlendorf, Ludwig Sedlacek
| BioRxiv
Abstract Ascites is a common complication in patients with decompensated liver cirrhosis. Spontaneous bacterial peritonitis (SBP) is the most frequent infection, affecting up to 30% of hospitalized patients with ascites. Multidrug-resistant bacteria in patients with liver cirrhosis are becoming more common, particularly in nosocomial infections. With early detection and adequate antibiotic therapy, the mortality rate of SBP can be reduced from over 90% to 15-20%.
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In silico genomic surveillance by CoVerage predicts and characterizes SARS-CoV-2 Variants of Interest

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By Katrina Norwood, Zhi-Luo Deng, Susanne Reimering, Gary Robertson
| BioRxiv
Abstract Rapidly evolving viral pathogens such as SARS-CoV-2 continuously accumulate amino acid changes, some of which affect transmissibility, virulence or improve the virus' ability to escape host immunity. Since the beginning of the pandemic and establishment of SARS-CoV-2 as a human pathogen, multiple lineages with concerning phenotypic alterations, so called Variants of Concern (VOCs), have emerged and risen to predominance.
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Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes

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By Kaixin Hu, Fernando Meyer, Zhi-Luo Deng, Ehsaneddin Asgari
| BioRxiv
Abstract The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been explored for this task, but systematic benchmarking is still needed.
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