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• W2892997400 abstract "The next-generation sequencing (NGS) technologies embrace advance sequencing technologies that can generate high-throughput RNA-seq data to delve into all the possible aspects of the transcriptome. It involves short-read sequencing approaches like 454, illumina, SOLiD and Ion Torrent, and more advance single-molecule long-read sequencing approaches including PacBio and nano-pore sequencing. Together with the help of computational approaches, these technologies are revealing the necessity of complex non-coding part of the genome, once dubbed as “junk DNA.” The ease in availability of high-throughput RNA-seq data has allowed the genome-wide identification of long non-coding RNA (lncRNA). The high-confidence lncRNAs can be filtered from the set of whole RNA-seq data using the computational pipeline. These can be categorized into intergenic, intronic, sense, antisense, and bidirectional lncRNAs with respect to their genomic localization. The transcription of lncRNAs in plants is carried out by plant-specific RNA polymerase IV and V in addition to RNA polymerase II and target the epigenetic regulation through RNA-directed DNA methylation (RdDM). lncRNAs regulate the gene expression through a variety of mechanism including target mimicry, histone modification, chromosome looping, etc. The differential expression pattern of lncRNA during developmental processes and different stress responses indicated their diverse role in plants." @default.
• W2892997400 created "2018-10-05" @default.
• W2892997400 creator A5004219787 @default.
• W2892997400 creator A5042119593 @default.
• W2892997400 creator A5068495511 @default.
• W2892997400 date "2018-09-26" @default.
• W2892997400 modified "2023-10-02" @default.
• W2892997400 title "Role of Next-Generation RNA-Seq Data in Discovery and Characterization of Long Non-Coding RNA in Plants" @default.
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• W2892997400 doi "https://doi.org/10.5772/intechopen.72773" @default.
• W2892997400 hasPublicationYear "2018" @default.

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