Long Non-coding RNA for Plants Using Big Data Analytics—A Review

This study delves into long non-coding RNAs (lncRNAs). The Long non-coding RNAs (lncRNAs) framework is a noteworthy section in non-coding RNAs and affects numerous biological processes. The long non-coding RNAs (lncRNAs) are not converted code to proteins. They are described as transcripts which have lengths in excess of 200 bp (Nucleotides). Long non-coding RNAs (lncRNAs) are deemed are important in the development of plant species as well as their stress responses. All types of lncRNAs are being linked to a variety of developmental processes, diseases, as well as stress in plants. The scientific establishments can benefit from the formation of newer databases and also upgrading of existent databases by providing researchers easy accessibility to lncRNAs’ knowledge-base. To achieve this, Big Data analytics in storage of data and Machine learning algorithms for implementation plays a major role. lncRNAs is a prospectively vital class of RNA and has less appropriate prediction tools and databases. With few endorsed researches into lncRNAs of plants, Big data and ML algorithms could be pivotal. Finally, we present the role of emergent systems and databases to store the data of lncRNAs of plants.