Single-cell transcriptomic analysis (scRNA-seq) can enable researchers to explore the gene expression patterns of thousands of individual cells simultaneously. Processing the complex data generated by scRNA-seq requires specialized computational tools. This chapter focuses on the analytical aspect of scRNA-seq workflow, with a focus on resolving biological signals from large-scale scRNA-seq data produced by the Drop-Seq platform.

Download full-text PDF

Source
http://dx.doi.org/10.1007/978-1-0716-2752-5_10DOI Listing

Publication Analysis

Top Keywords

analysis scrna-seq
8
scrna-seq data
8
scrna-seq
6
scrna-seq microcephaly
4
microcephaly [iii]
4
[iii] computational
4
computational analysis
4
data single-cell
4
single-cell transcriptomic
4
transcriptomic analysis
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!