IAMBEE is a web server designed for the Identification of Adaptive Mutations in Bacterial Evolution Experiments (IAMBEE). Input data consist of genotype information obtained from independently evolved clonal populations or strains that show the same adapted behavior (phenotype). To distinguish adaptive from passenger mutations, IAMBEE searches for neighborhoods in an organism-specific interaction network that are recurrently mutated in the adapted populations. This search for recurrently mutated network neighborhoods, as proxies for pathways is driven by additional information on the functional impact of the observed genetic changes and their dynamics during adaptive evolution. In addition, the search explicitly accounts for the differences in mutation rate between the independently evolved populations. Using this approach, IAMBEE allows exploiting parallel evolution to identify adaptive pathways. The web-server is freely available at http://bioinformatics.intec.ugent.be/iambee/ with no login requirement.
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http://dx.doi.org/10.1093/nar/gkz451 | DOI Listing |
Psychol Psychother
January 2025
Division of Psychology and Mental Health, University of Manchester, Manchester, UK.
Objectives: Loneliness in people who experience psychosis is common and associated with poor mental health. In this randomised trial, we tested the feasibility and acceptability of an adapted Groups for Health (G4H) intervention for loneliness, delivered in group or individual format.
Design: Mixed methods, two-arm feasibility randomised controlled trial.
<b>Background and Objective:</b> Peatlands are unique ecosystems rich in microbial diversity, including bacteria with potential antibiotic activity. This study focuses on the isolation and characterization of bacteria from Indonesian peat soil, particularly their potential to produce antibiotics against multidrug-resistant (MDR) pathogens, including Methicillin-Resistant <i>Staphylococcus aureus</i> (MRSA). <b>Materials and Methods:</b> Bacterial isolates were rejuvenated on nutrient agar and subjected to antimicrobial activity testing using the Bauer & Kirby diffusion method against MRSA.
View Article and Find Full Text PDFBr J Soc Psychol
April 2025
Instituto de Ciencias Sociales, Universidad de O'Higgins, Rancagua, Chile.
The impacts of extreme events can intersect with pre-disaster systemic inequalities and deficiencies, exacerbating distress. This paper contributes to the existing literature by exploring the psychosocial processes through which stressors become traumatic during an extreme event. It does so by focusing on how mothers of children and/or adolescents in the United Kingdom experienced the COVID-19 pandemic.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Laboratory of Neurogenetics and Molecular Medicine, Center for Genomic Sciences in Medicine, Institut de Recerca Sant Joan de Déu, Únicas SJD Center, Hospital Sant Joan de Déu, Barcelona, Spain.
Background: Rare diseases (RDs) are a heterogeneous group of complex and low-prevalence conditions in which the time to establish a definitive diagnosis is often too long. In addition, for most RDs, few to no treatments are available and it is often difficult to find a specialized care team.
Objectives: The project "acERca las enfermedades raras" (in English: "bringing RDs closer") is an initiative primary designed to generate a consensus by a multidisciplinary group of experts to detect the strengths and weaknesses in the public healthcare system concerning the comprehensive care of persons living with a RD (PLWRD) in the region of Catalonia, Spain, where a Network of Clinical Expert Units (Xarxa d'Unitats de Expertesa Clínica or XUEC) was created and is being implemented since 2015.
Sci Rep
January 2025
School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China.
Arc detection is crucial for ensuring the safe operation of power systems, where timely and accurate detection of arcs can prevent potential hazards such as fires, equipment damage, or system failures. Traditional arc detection methods, while functional, often suffer from low detection accuracy and high computational complexity, especially in complex operational environments. This limitation is particularly problematic in real-time monitoring and the efficient operation of power systems.
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