Login / Signup

Analysis of Single-Cell Transcriptome Data in Drosophila.

Schayan YousefianMaria Jelena MusilloJosephine Bageritz
Published in: Methods in molecular biology (Clifton, N.J.) (2022)
The fly Drosophila is a versatile model organism that has led to fascinating biological discoveries. In the past few years, Drosophila researchers have used single-cell RNA-sequencing (scRNA-seq) to gain insights into the cellular composition, and developmental processes of various tissues and organs. Given the success of single-cell technologies a variety of computational tools and software packages were developed to enable and facilitate the analysis of scRNA-seq data. In this book chapter we want to give guidance on analyzing droplet-based scRNA-seq data from Drosophila. We will initially describe the preprocessing commonly done for Drosophila, point out possible downstream analyses, and finally highlight computational methods developed using Drosophila scRNA-seq data.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • electronic health record
  • big data
  • genome wide
  • gene expression
  • data analysis
  • deep learning
  • dna methylation
  • artificial intelligence