RNA Sequencing and Data Analysis: A Revolutionary Approach to Transcriptome Profiling in Livestock

  • Kim, Do-Young; 
  • Lim, Byeonghwi; 
  • Jang, Min-Jae; 
  • Lim, Seok-Won; 
  • Kim, Jun-Mo
Citations

SCOPUS

4

초록

The development of high-throughput RNA sequencing (RNA-Seq) technologies has revolutionized transcriptome analysis in livestock genomics. This chapter reviews the progress of RNA-Seq from the initial stages of sample preparation through to the quantification of gene expression and differential expression (DE) analysis. We discuss the main challenges, such as the complexity of transcriptomic data and the limitations of current analytical technologies. Additionally, we explore potential improvements through integrative multi-omics approaches and the introduction of novel sequencing technologies. Our review highlights the crucial impact of RNA-Seq on livestock genomics and suggests strategic approaches to address current limitations and capitalize on emerging opportunities in the field. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

키워드

Data Analysis; DEGs; Gene Ontology; Livestock; RNA-Seq
제목
RNA Sequencing and Data Analysis: A Revolutionary Approach to Transcriptome Profiling in Livestock
저자
Kim, Do-Young; Lim, Byeonghwi; Jang, Min-Jae; Lim, Seok-Won; Kim, Jun-Mo
DOI
10.1007/978-981-97-7395-4_2
발행일
2025-01
유형
Book chapter
저널명
Bioinformatics in Veterinary Science: Vetinformatics
페이지
23 ~ 40