Objective: To describe the importance of bioinformatics tools to analyze the big data yielded from new "omics" generation-methods, with the aim of unraveling the biology of the pathogen bacteria Lactococcus garvieae.
Methods: The paper provides the vision of the large volume of data generated from genome sequences, gene expression profiles by microarrays and other experimental methods that require biomedical informatics methods for management and analysis.
Results: The use of biomedical informatics methods improves the analysis of big data in order to obtain a comprehensive characterization and understanding of the biology of pathogenic organisms, such as L. garvieae.
Conclusions: The "Big Data" concepts of high volume, veracity and variety are nowadays part of the research in microbiology associated with the use of multiple methods in the "omic" era. The use of biomedical informatics methods is a requisite necessary to improve the analysis of these data.
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http://dx.doi.org/10.1186/2047-2501-3-S1-S5 | DOI Listing |
J Adolesc Health
January 2025
Center for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. Electronic address:
Biosci Biotechnol Biochem
January 2025
Division of Food Science and Biotechnology, Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502, Japan.
Protein kinase C (PKC) is a family of serine/threonine kinases, and PKC ligands have the potential to be therapeutic seeds for cancer, Alzheimer's disease, and human immunodeficiency virus infection. However, in addition to desired therapeutic effects, most PKC ligands also exhibit undesirable pro-inflammatory effects. The discovery of new scaffolds for PKC ligands is important for developing less inflammatory PKC ligands, such as bryostatins.
View Article and Find Full Text PDFClin Chim Acta
January 2025
Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, PR China. Electronic address:
Invasive pulmonary aspergillosis (IPA), the most common fungal infection, is associated with high mortality of affected patients. Traditional diagnostic methods exhibit limited sensitivity and specificity, raising big challenges for precise management of the patients. There is thus an urgent need to find out a timely and accurate diagnostic method in clinical practice.
View Article and Find Full Text PDFJ Biomech
January 2025
Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University Chengdu Sichuan Province China. Electronic address:
OpenCap, a smartphone-based markerless system, offers a cost-effective alternative to traditional marker-based systems for gait analysis. However, its kinematic measurement accuracy must be evaluated before widespread use in clinical practice. This study aimed to evaluate OpenCap for lower-limb joint angle measurements during walking in patients with knee osteoarthritis (OA) and to compare error metrics between patients and healthy controls.
View Article and Find Full Text PDFChild Abuse Negl
January 2025
Center for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health Zhejiang University School of Medicine, Hangzhou China. Electronic address:
Background: Nurses demonstrate a greater vulnerability to developing depressive and anxiety symptoms compared to the general population. Adverse Childhood Experiences (ACEs) are known risk factors for mental health issues, but impact of timing of these experiences remains unclear.
Objective: To investigate associations between timing of ACEs and depressive, anxiety, comorbid symptoms.
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