LncRNAs Disease: A text mining Approach to Find the role of lncRNA in Aging

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ID: 312732
2025
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Abstract
The number of studies on long non-coding RNAs (LncRNAs) has rapidly expanded in recent years. Since LncRNAs have been shown to have strong associations with a variety of illnesses, it is critical to comprehend their function or roles in disease diagnosis, prognosis, and therapy response assessment. Using keywords like "Long non-coding RNAs" and "lncRNAs," we searched through over 95,000 papers and carefully examined them to get information about the relationship between lncRNAs and diseases. Because several lncRNA identifiers (IDs) and reference genome versions exist, these data are highly synthesised and diverse. We normalized the data by making a significant effort to eliminate anomalies and repetition. In the end, we created the lncRNAs Disease database, which incorporates data from experiments supporting the association of lncRNAs with a variety of illnesses. A unique, extensive, and exclusive database resource, The lncRNAs Disease (lncRNA Disease v1.0) offers over 90000 hand selected connections of 57096 empirically supported LncRNAs implicated in 28 disorders. By offering comprehensive details on the LncRNA in each illness, together with experimental support, a concise description, sequence information, and location details, LncRNAs illness helps users. Given the function or roles of lncRNAs in a variety of disorders, it is anticipated that a vast amount of data would be generated soon. As a result, we provide a submission area where researchers or anyone may help us update our database on long non-coding RNA diseases.
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imported_1777056349_69ebba5d116c8 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Tayyab Mumtaz
Journal Journal of Computing & Biomedical Informatics
Year 2025
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