SPECIES-LEVEL CHARACTERIZATION OF THE CORE MICROBIOME IN HEALTHY DOGS USING FULL-LENGTH 16S RRNA GENE SEQUENCING

Species-level characterization of the core microbiome in healthy dogs using full-length 16S rRNA gene sequencing

Despite considerable interest and research in the canine fecal microbiome, our understanding of its species-level composition remains incomplete, as the majority of studies have only provided genus-level resolution.Here, we used full-length 16S rRNA gene sequencing to characterize the fecal microbiomes of 286 presumed healthy dogs living in homes B

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An easy method for identifying 315 categories of commonly-used Chinese herbal medicines based on automated image recognition using AutoML platforms

The identification of Chinese herbal medicines (CHMs) is directly related to their safety and efficacy.However, the limited number of professionals fails to meet the demand of the vast CHMs market.To make the CHMs identification more convenient and accurate, this study aimed at assessing the feasibility of the automated machine learning (AutoML) te

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Non-Random Pattern of Integration for Epstein-Barr Virus with Preference for Gene-Poor Genomic Chromosomal Regions into the Genome of Burkitt Lymphoma Cell Lines

Background: Epstein-Barr virus (EBV) is an Serving Platter oncogenic virus found in about 95% of endemic Burkitt lymphoma (BL) cases.In latently infected cells, EBV DNA is mostly maintained in episomal form, but it can also be integrated into the host genome, or both forms can coexist in the infected cells.Methods: In this study, we mapped the chro

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