作者: Shamika Ketkar , Shashikant Kulkarni
DOI: 10.1016/B978-0-12-404748-8.00006-X
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摘要: In addition to measuring gene expression levels, next-generation sequencing (NGS)-based RNA-sequencing methods (RNA-seq) can also reveal unknown transcripts and splicing isoforms, provide quantitative measurements of alternatively spliced isoforms. The total RNA complement a cell or population cells, known as transcriptome, be analyzed by this technology. RNA-seq greatly extends the possibilities transcriptome studies analysis translocation events, nucleotide variations, posttranscriptional base modifications. Due its flexibility declining cost massively parallel sequencing, NGS-based is becoming an increasingly attractive tool investigate full range complex landscape dynamics transcriptome. However, significant challenges remain for migrate into clinical practice diagnostic predictive applications. This chapter discusses concepts considerations methylome describes basic approaches associated with these