RNA-Sequencing Analysis Pipeline for Prognostic Marker Identification in Cancer

Methods Mol Biol. 2021:2174:119-131. doi: 10.1007/978-1-0716-0759-6_8.

Abstract

Sequencing analysis finds many applications in various fields of biology from comparative genomics to clinical research. Recent studies, using high-throughput sequencing method, has generated terabytes of data. It is challenging to interpret and draw a meaningful conclusion without the proper understanding of various steps involved in the analysis of such data. This chapter deals with the pipeline to be followed to process the raw RNA sequencing (RNA-Seq) reads, align, assemble, and quantify them in order to draw significant clinical conclusions from them.

Keywords: Biomarkers; Differential expression; LncRNAs; Prognosis; RNA sequencing; Sequencing analysis.

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Brain Neoplasms / genetics
  • Brain Neoplasms / mortality
  • Computational Biology / methods*
  • Databases, Genetic
  • Gene Expression Regulation, Neoplastic
  • Glioblastoma / genetics
  • Glioblastoma / mortality
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • Kaplan-Meier Estimate
  • Neoplasms / genetics*
  • Neoplasms / mortality*
  • Prognosis
  • Proportional Hazards Models
  • Quality Control
  • Sequence Alignment / methods
  • Sequence Analysis, RNA / methods*
  • Survival Analysis

Substances

  • Biomarkers, Tumor