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CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs.

Tianyuan LiuHuiyuan QiaoZixu WangXinyan YangXianrun PanYu YangXiucai YeTetsuya SakuraiHao LinYang Zhang
Published in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Recent studies have revealed that numerous lncRNAs can translate proteins under specific conditions, performing diverse biological functions, thus termed coding lncRNAs. Their comprehensive landscape, however, remains elusive due to this field's preliminary and dispersed nature. This study introduces codLncScape, a framework for coding lncRNA exploration consisting of codLncDB, codLncFlow, codLncWeb, and codLncNLP. Specifically, it contains a manually compiled knowledge base, codLncDB, encompassing 353 coding lncRNA entries validated by experiments. Building upon codLncDB, codLncFlow investigates the expression characteristics of these lncRNAs and their diagnostic potential in the pan-cancer context, alongside their association with spermatogenesis. Furthermore, codLncWeb emerges as a platform for storing, browsing, and accessing knowledge concerning coding lncRNAs within various programming environments. Finally, codLncNLP serves as a knowledge-mining tool to enhance the timely content inclusion and updates within codLncDB. In summary, this study offers a well-functioning, content-rich ecosystem for coding lncRNA research, aiming to accelerate systematic studies in this field.
Keyphrases
  • healthcare
  • network analysis
  • long non coding rna
  • genome wide identification
  • genome wide analysis
  • long noncoding rna
  • single cell
  • squamous cell carcinoma
  • climate change
  • high throughput
  • human health
  • risk assessment