Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data

Autor: Rashmi Tripathi, Pavan Chakraborty, Pritish Kumar Varadwaj
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Non-coding RNA Research, Vol 2, Iss 2, Pp 111-118 (2017)
Druh dokumentu: article
ISSN: 2468-0540
DOI: 10.1016/j.ncrna.2017.06.003
Popis: Extensive genome-wide transcriptome study mediated by high throughput sequencing technique has revolutionized the study of genetics and epigenetic at unprecedented resolution. The research has revealed that besides protein-coding RNAs, large proportions of mammalian transcriptome includes a heap of regulatory non protein-coding RNAs, the number encoded within human genome is enigmatic. Many taboos developed in the past categorized these non-coding RNAs as ââdark matterâ and âjunksâ. Breaking the myth, RNA-seq-- a recently developed experimental technique is widely being used for studying non-coding RNAs which has acquired the limelight due to their physiological and pathological significance. The longest member of the ncRNA family-- long non-coding RNAs, acts as stable and functional part of a genome, guiding towards the important clues about the varied biological events like cellular-, structural- processes governing the complexity of an organism. Here, we review the most recent and influential computational approach developed to identify and quantify the long non-coding RNAs serving as an assistant for the users to choose appropriate tools for their specific research. Keywords: Transcriptome, High throughput sequencing, Genetic and epigenetic, Long non-coding RNA, RNA-sequencing, RNA-seq
Databáze: Directory of Open Access Journals