Unlabelled: With the advancement of genome-sequencing technologies, new genomes are being sequenced daily. Although these sequences are deposited in publicly available data warehouses, their functional and genomic annotations (beyond genes which are predicted automatically) mostly reside in the text of primary publications. Professional curators are hard at work extracting those annotations from the literature for the most studied organisms and depositing them in structured databases. However, the resources don't exist to fund the comprehensive curation of the thousands of newly sequenced organisms in this manner. Here, we describe WikiGenomes (wikigenomes.org), a web application that facilitates the consumption and curation of genomic data by the entire scientific community. WikiGenomes is based on Wikidata, an openly editable knowledge graph with the goal of aggregating published knowledge into a free and open database. WikiGenomes empowers the individual genomic researcher to contribute their expertise to the curation effort and integrates the knowledge into Wikidata, enabling it to be accessed by anyone without restriction.
Database Url: www.wikigenomes.org.
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http://dx.doi.org/10.1093/database/bax025 | DOI Listing |
EClinicalMedicine
January 2025
Department of Anesthesia and Intensive Care Unit, Regional University Hospital of Montpellier, St-Eloi Hospital, University of Montpellier, Montpellier, CEDEX 5, France.
Background: Patients with obesity are at high-risk of extubation failure. Discrepancies were found in the results of recent randomized controlled trials (RCTs) regarding the roles of noninvasive ventilation (NIV), high flow nasal cannula (HFNC) and conventional oxygen therapy (COT) to prevent extubation failure in critically ill patients with obesity.
Methods: In this systematic review and network meta-analysis, we searched MEDLINE, Cochrane Center Register of Controlled Trials and Web of Science from 1 January 1998 to 1 July 2024 for RCTs evaluating noninvasive respiratory support therapies (NIV, HFNC, COT, NIV + HFNC) after extubation in critically ill adults with obesity.
Anal Bioanal Chem
January 2025
Department of Medical Biochemistry, Faculty of Medicine in Hradec Králové, Charles University, Šimkova 870, 500 03, Hradec Králové, Czech Republic.
The visual evaluation of data derived from screening and optimization experiments in the development of new analytical methods poses a considerable time investment and introduces the risk of subjectivity. This study presents a novel approach to processing such data, based on factor analysis of mixed data and hierarchical clustering - multivariate techniques implemented in the R programming language. The methodology is demonstrated in the early-stage screening and optimization of the chromatographic separation of 15 structurally diverse drugs that affect the central nervous system, using a custom R Language script.
View Article and Find Full Text PDFrRNA-derived fragments (rRFs) are a class of emerging post-transcriptional regulators of gene expression likely binding to the transcripts of target genes. However, the lack of knowledge about such targets hinders our understanding of rRF functions or binding mechanisms. The paucity of resources supporting the identification of the targets of rRFs creates a bottleneck in the fast-developing field.
View Article and Find Full Text PDFSurgery
January 2025
Experimental Surgery and Simulation Center, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Department of Digestive Surgery, Pontificia Universidad Católica de Chile, Santiago, Chile. Electronic address:
Distance and remote simulation have emerged as vital tools in modern surgical education, offering solutions to challenges such as limited operating hours, growing clinical demands, and the need for consistent, high-quality training. This review examines the benefits, limitations, and strategies for implementing sustainable distance simulation, structured around 3 foundational pillars: (1) effective hardware and infrastructure, including simulators and realistic scenarios that enable trainees to develop essential skills; (2) validated training programs grounded in educational theory with a clear focus on skill transfer and predictive validity; and (3) timely access to effective feedback. Distance simulation permits adaptable, scalable training environments, but the addition of remote and deferred feedback has further broadened its impact, helping to overcome the challenges posed by faculty availability and clinician time constraints.
View Article and Find Full Text PDFJ Craniofac Surg
October 2024
Department of Biomedical and Surgical and Biomedical Sciences, Catania University, Catania, Italy.
Background: With the use of machine learning algorithms, artificial intelligence (AI) has become a viable diagnostic and treatment tool for oral cancer. AI can assess a variety of information, including histopathology slides and intraoral pictures.
Aim: The purpose of this systematic review is to evaluate the efficacy and accuracy of AI technology in the detection and diagnosis of oral cancer between 2020 and 2024.
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