دورية أكاديمية

Exploring the landscape of tools and resources for the analysis of long non-coding RNAs

التفاصيل البيبلوغرافية
العنوان: Exploring the landscape of tools and resources for the analysis of long non-coding RNAs
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