%0 Journal Article
%T Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data
%A Pavan Chakraborty
%A Pritish Kumar Varadwaj
%A Rashmi Tripathi
%J Archive of "Non-coding RNA Research".
%D 2017
%R 10.1016/j.ncrna.2017.06.003
%X 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 ˇ®ˇ®dark matterˇ± and ˇ°junksˇ±. 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
%K Transcriptome
%K High throughput sequencing
%K Genetic and epigenetic
%K Long non-coding RNA
%K RNA-sequencing
%K RNA-seq
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096414/