Bioinformatic Pipelines to Analyze lncRNAs RNAseq Data

Methods Mol Biol. 2021:2348:55-69. doi: 10.1007/978-1-0716-1581-2_4.

Abstract

RNA-sequencing could be nowadays considered the gold standard to study the coding and noncoding transcriptome. The great advantage of high-throughput sequencing in the characterization and quantification of long noncoding RNA (lncRNA) resides in its capability to capture the complexity of lncRNA transcripts configuration patterns, even in the presence of several alternative isoforms, with superior accuracy and discovery power compared to other technologies such as microarrays or PCR-based methods. In this chapter, we provide a protocol for lncRNA analysis using through high-throughput sequencing, indicating the main difficulties in the annotation pipeline and showing how an accurate evaluation of the procedure can help to minimize biased observations.

Keywords: RNA sequencing; Sequencing data mapping; lncRNA quantification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computational Biology / methods*
  • Data Interpretation, Statistical
  • Databases, Genetic
  • Gene Expression Profiling / methods*
  • High-Throughput Nucleotide Sequencing / methods
  • Molecular Sequence Annotation
  • RNA, Long Noncoding / genetics*
  • Sequence Analysis, RNA* / methods
  • Software
  • Transcriptome*
  • User-Computer Interface
  • Web Browser

Substances

  • RNA, Long Noncoding