Nature – Pathogens
- Remotely delivered weight management for people with long COVID and overweight: the randomized wait-list-controlled ReDIRECT trial January 8, 2025
- Privacy protection of sexually transmitted infections information from Chinese electronic medical records January 8, 2025
- Harnessing light-activated gallium porphyrins to combat intracellular Staphylococcus aureus using an in vitro keratinocyte infection model January 8, 2025
- Disruption of seasonal influenza circulation and evolution during the 2009 H1N1 and COVID-19 pandemics in Southeastern Asia January 8, 2025
- β-Glucan reprograms neutrophils to promote disease tolerance against influenza A virus January 8, 2025
Nature – AMR
- Biochar filtration of drug-resistant bacteria and active pharmaceutical ingredients to combat antimicrobial resistance January 8, 2025
- Antimicrobial susceptibility profiles of Mycoplasma hyosynoviae strains isolated from five European countries between 2018 and 2023 January 7, 2025
- Longitudinal monitoring of sewershed resistomes in socioeconomically diverse urban neighborhoods January 7, 2025
- Aztreonam-avibactam: a new combination with activity against multidrug-resistant Klebsiella pneumoniae complex January 7, 2025
- Methionine-driven methylation modification overcomes plasmid-mediated high-level tigecycline resistance January 6, 2025
Outbreaks
CDC
- Expanded Recommendations for Use of Pneumococcal Conjugate Vaccines Among Adults Aged ≥50 Years: Recommendations of the Advisory Committee on Immunization Practices — United States, 2024 January 8, 2025
- Occupational Exposure to Mercury at an Electronics Waste and Lamp Recycling Facility — Ohio, 2023 January 8, 2025
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Author Archives: WeimerMicroLab
Biological machine learning combined with bacterial population genomics reveals common and rare allelic variants of genes to cause disease
WeimerMicroLab’s latest manuscript by DJ Darwin R. Bandoy & Bart C. Weimer is out! Click here to read “Biological machine learning combined with bacterial population genomics reveals common and rare allelic variants of genes to cause disease.”
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Machine Learning How to Culture UnCulturables?
Contributed by Shawn Higdon How much of the microbial biodiversity on planet Earth has mankind managed to grow in the laboratory? I think the number thrown around as a rough approximation in early biology classes is 5 percent. Five percent, … Continue reading
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Preprint is Out!
Contributed by Darwin Bandoy, DVM We are proud to announce the preprint publication of our paper wherein we identified a misclassified species of Hungatella from the Human Microbiome Project. This project demonstrates the power of pangenome analysis to resolve species identity … Continue reading
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Qualifying Exam Preparation for PhD students in Life Sciences and Biotechnology
Contributed by Darwin Bandoy, DVM I am still over the clouds for passing my qualifying exam. And I am pretty sure most PhD students are curious how I made my preparations. So, I will be describing what I did. Read, … Continue reading
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Comprehensive Carbohydrate Active Enzyme Analysis with meta-dbCAN
Contributed by Shawn Higdon The focus of my graduate research involves the investigation of nitrogen-fixing bacteria inhabiting a terrestrial environment that is rich in complex carbohydrate – the aerial root exudate (mucilage) of an isolated maize landrace. Within this arc, … Continue reading
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Post Conference Reflections: Bay Area Microbial Pathogenesis Symposium
Contributed by Darwin Bandoy DVM I presented a poster at BAMPS (Bay Area Microbial Pathogenesis Symposium) with my work on using machine learning bacterial genome-wide association study. First of all, it was radically different as most posters focus on defining … Continue reading
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Analyzing RNAseq Data with DESeq2
Contributed by Shawn Higdon RNA sequencing experiments are extremely powerful in terms of the amount of information that is capable of being revealed for a given experimental system. While performing these experiments demands passing through several hurdles in the lab … Continue reading
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Metagenome wide association studies: data mining the microbiome
Contributed by Darwin Bandoy, DVM Increased sequencing capability offers an unprecedented look into the microbiome and the association with complex diseases. Associations are mined to determine the changes occurring with microbiome and metabolic conditions like diabetes and obesity, as well … Continue reading
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Pangenome guided pharmacophore modelling of enterohemorrhagic Escherichia coli sdiA
Contributed by Darwin Bandoy, DVM I am proud to present my published work in the F1000Research journal. This journal is unique due to the open peer review platform. Open peer review publishes the article first after a basic editorial screening … Continue reading
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Fast Transcript Quantification with Salmon
Contributed by Shawn Higdon Interpretation of Sequencing data from experiments targeting gene expression in any biological system requires a series of computational and analytical steps. After going through the motions of pre-processing sequencing reads into a state of high quality … Continue reading
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