The explosion of microbial omics data has outpaced the ability of many researchers to analyze it, with complex tools and limited computational resources creating barriers to discovery. To address this gap, we present the Microbiology Galaxy Lab: a free, globally accessible, community-supported platform that combines state-of-the-art analytical power with user-friendly accessibility. Supported by the Galaxy and global microbiology communities, this platform integrates over 315 tool suites and 115 curated workflows, enabling comprehensive metabarcoding, (meta)genomic, (meta)transcriptomic, and (meta)proteomic data analysis within a FAIR-aligned environment. It also supports research in the health and infectious disease sectors, as well as in environmental microbiology. The platform's utility is exemplified through various use cases, including antimicrobial resistance tracking, biomarker prediction, microbiome classification, and functional annotation of key microbes. Built on reproducibility and community engagement, it supports creation, sharing, and updating of best-practice workflows. Over 35 tutorials and learning paths empower scientists, fostering an ecosystem that keeps resources at the forefront of microbial science. The Microbiology Galaxy Lab enables collective analysis, democratising research, thereby accelerating discovery across the global microbiology community (microbiology.usegalaxy.org, .eu, .org.au, .fr).

Cholera, a disease caused by the Vibrio cholerae bacteria, threatens public health worldwide. The organism mentioned above has a significant historical record of being identified as a prominent aquatic environmental pollutant capable of adapting its phenotypic and genotypic traits to react to host patients effectively. This study aims to elucidate the heterogeneity of the sporadic clinical strain of V. cholerae VC01 among patients residing in Silvasa. The study involved conducting whole-genome sequencing of the isolate obtained from patients exhibiting symptoms, including those not commonly observed in clinical practice. The strain was initially identified through a combination of biochemical analysis, microscopy, and 16s rRNA-based identification, followed by type strain-based identification. The investigation demonstrated the existence of various genetic alterations and resistance profiles against multiple drugs, particularly chloramphenicol (catB9), florfenicol (floR), oxytetracycline (tet(34)), sulfonamide (sul2), and Trimethoprim (dfrA1). The pan-genomic analysis indicated that 1099 distinct clusters were detected within the genome sequences of recent isolates worldwide. The present study helps to establish a correlation between the mutation and the coexistence of antimicrobial resistance toward current treatment.

Dengue fever is a viral infection transmitted by mosquitoes and manifests in different forms, ranging from classic dengue fever to more severe dengue hemorrhagic fever.: This study studies demographic, virological, clinical, hematological, and biochemical data, of dengue patient and their relationship with dengue fever type. This study analyzed data from 178 confirmed cases of dengue infection in a tertiary care hospital Union Territory of Dadra and Nagar Haveli and Daman and Diu, India. Demographic data, clinical presentations, dengue serotypes, and biochemical and hematological profiles were collected and analyzed to understand the distribution of dengue virus serotypes and the severity of clinical manifestations. The majority of patients were young males, with a mean age of 27 years. The prevalence of DENV-2 was significantly higher than that of the other serotypes, indicating its dominant circulation within the study population. The clinical features included fever (100%), headache (92.70%), myalgia (84.83%), and nausea/vomiting (64.61%). Hematological abnormalities were prevalent, including anemia (42.20% in males and 33.33% in females), thrombocytopenia (67.97%), and neutropenia (21.91%). Biochemical profiles showed elevated liver enzyme levels, with 75.84% of patients having elevated alanine aminotransferase levels. The results also showed that, as the severity of dengue fever increased, there were notable changes in hematological and biochemical parameters, such as decreased hemoglobin, hematocrit, platelet counts, elevated liver enzymes, bilirubin, and markers of renal function. This study underscores the critical need for targeted public health strategies in regions with a high prevalence of DENV-2, and the importance of specific clinical markers in managing and predicting the progression of dengue. These insights could guide therapeutic interventions and public health measures, ultimately reducing disease burden.