دورية أكاديمية
Exploring the landscape of tools and resources for the analysis of long non-coding RNAs
العنوان: | Exploring the landscape of tools and resources for the analysis of long non-coding RNAs |
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المؤلفون: | Ballarino, Monica, Pepe, Gerardo, Helmer-Citterich, Manuela, Palma, Alessandro |
المساهمون: | Ballarino, Monica, Pepe, Gerardo, Helmer-Citterich, Manuela, Palma, Alessandro |
بيانات النشر: | Elsevier Amsterdam |
سنة النشر: | 2023 |
المجموعة: | Sapienza Università di Roma: CINECA IRIS |
مصطلحات موضوعية: | RNA, NcRNA, LncRNA, bioinformatic, transcriptomic, genomics |
الوصف: | In recent years, research on long non-coding RNAs (lncRNAs) has gained considerable attention due to the increasing number of newly identified transcripts. Several characteristics make their functional evaluation challenging, which called for the urgent need to combine molecular biology with other disciplines. The recent development of computational pipelines and bioinformatic resources has greatly facilitated both the discovery and the mechanisms of action of lncRNAs. In this review, we present a curated collection of the most recent computational resources, which have been categorized into distinct groups: databases and annotation, identification and classification, interaction prediction, and structure prediction. As the repertoire of lncRNAs and their analysis tools continues to expand over the years, standardizing the computational pipelines and improving the existing annotation of lncRNAs will be crucial to facilitate functional genomics studies. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
العلاقة: | volume:21; firstpage:4706; lastpage:4716; numberofpages:11; journal:COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL; https://hdl.handle.net/11573/1689481Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85173141032 |
DOI: | 10.1016/j.csbj.2023.09.041 |
الإتاحة: | https://doi.org/10.1016/j.csbj.2023.09.041Test https://hdl.handle.net/11573/1689481Test |
حقوق: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.E17A3634 |
قاعدة البيانات: | BASE |
DOI: | 10.1016/j.csbj.2023.09.041 |
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