Chandra S Pareek
Global researches in the field of biology, biotechnology and medicine require utilization of advanced transcriptome analysis to investigate cellular state, physiology and other relevant biological events. In past decade, RNA-seq is emerged as one of the most versatile application of Next-generation Genome Sequencing (NGS) technology and revolutionized the global researches on transcriptome [1]. The high-throughput RNA-seq data continues to provide unparalleled insight into transcriptome complexity [2]. Now one can consider that the “gold standard” for assessing global transcriptome analysis on RNA- seq data is poised to revolutionize our understanding of transcription and posttranscriptional regulation of RNA [3].
