Long non-coding RNAs (lncRNAs) form the largest class of non-protein coding genes in the human genome. While a small subset of well-characterized lncRNAs has demonstrated their significant role in diverse biological functions like chromatin modifications, post-transcriptional regulation, imprinting etc., the functional significance of a vast majority of them still remains an enigma. Increasing evidence of the implications of lncRNAs in various diseases including cancer and major developmental processes has further enhanced the need to gain mechanistic insights into the lncRNA functions. Here, we present a comprehensive review of the various computational approaches and tools available for the identification and annotation of long non-coding RNAs. We also discuss a conceptual roadmap to systematically explore the functional properties of the lncRNAs using computational approaches.
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http://dx.doi.org/10.1093/bioinformatics/btv148 | DOI Listing |
JMIR Form Res
January 2025
Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, United States.
Background: Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation.
Objective: This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda.
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
View Article and Find Full Text PDFPsychother Res
January 2025
Department of Psychology, University of Kansas, Lawrence, KS, USA.
Background: This special section underscores the potential of multimodal measurement approaches to transform psychotherapy research. A multimodal approach provides a more comprehensive understanding than any single modality (type of collected information) can provide on its own.
Methods: Traditionally, clinicians and researchers have relied on their intuition, experience, and training to integrate different types of information in a psychotherapy session/treatment.
West Afr J Med
September 2024
Health Policy Research Group, Department of Pharmacology and Therapeutics, College of Medicine, University of Nigeria Enugu-Campus, Enugu, Nigeria.
Background: This study estimated the cost of providing free maternal and child health (MCH) services at the primary health centre (PHC) level in southeast Nigeria. The costs of providing an essential benefit package of maternal and child health (MCH) services are unknown. Such information is required for optimal resource allocation decisions and for replicating similar programmes in different settings.
View Article and Find Full Text PDFBiophys J
January 2025
Department of Chemical Engineering, Columbia University, New York, NY 10027. Electronic address:
Membrane fusion is central to fundamental cellular processes such as exocytosis, when an intracellular machinery fuses membrane-enclosed vesicles to the plasma membrane for contents release. The core machinery components are the SNARE proteins. SNARE complexation pulls the membranes together, but the fusion mechanism remains unclear.
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