| Literature DB >> 32926366 |
Xiaoqing Yu1, Farnoosh Abbas-Aghababazadeh1, Y Ann Chen1, Brooke L Fridley2.
Abstract
High-throughput sequencing (HTS) has revolutionized researchers' ability to study the human transcriptome, particularly as it relates to cancer. Recently, HTS technology has advanced to the point where now one is able to sequence individual cells (i.e., "single-cell sequencing"). Prior to single-cell sequencing technology, HTS would be completed on RNA extracted from a tissue sample consisting of multiple cell types (i.e., "bulk sequencing"). In this chapter, we review the various bioinformatics and statistical methods used in the processing, quality control, and analysis of bulk and single-cell RNA sequencing methods. Additionally, we discuss how these methods are also being used to study tumor heterogeneity.Entities:
Keywords: Differential expression; High-throughput sequencing; Normalization; Quality control; Single-cell; Transcriptomics; Tumor heterogeneity
Mesh:
Year: 2021 PMID: 32926366 PMCID: PMC7771369 DOI: 10.1007/978-1-0716-0849-4_9
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745