Sleuth is an
RNA-seq tool that performs differential expression analysis on quantified reads from
Sleuth is novel both in its use of statistical bootstraps to understand
differential gene expression, and in its use of
Shiny to provide in-browser, interactive
analyses of RNA-seq experiments.
If you are interested in using sleuth, see the
If you would like to see an example of a live sleuth analysis, see
RNA-seq for short, is a
type of study that aims, at a high level, to understand gene expression
within an organism.
RNA-seq is used to analyze the
transcriptome: the parts
of the genome that are being expressed by each cell. Unlike the genome,
transcriptome is constantly changing and varies depending on which cell you look at.
RNA-seq helps us understand how environmental factors impact our
A better understanding of our
transcriptome may help us develop cures or treatments for diseases and medical conditions
that currently have no tractable cure.
My role in this project was twofold: I designed several of the data visualizations present in the Sleuth live app, and I made it possible for high-volume Sleuth objects to be shared online.
Sleuth was developed by the Pachter Lab at UC Berkeley.