Related Experiment Video
Updated: Sep 23, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
Published on: July 29, 2022
hacksig: a unified and tidy R framework to easily compute gene expression signature scores
Andrea Carenzo1, Federico Pistore2, Mara S Serafini1
1Molecular Mechanisms Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Summary:
Hundreds of gene expression signatures have been developed during the last two decades. However, due to the multitude of development procedures and sometimes a lack of explanation for their implementation, it can become challenging to apply the original method on custom data. Moreover, at present, there is no unified and tidy interface to compute signature scores with different single sample enrichment methods. For these reasons, we developed hacksig, an R package intended as a unified framework to obtain single sample scores with a tidy output as well as a collection of manually curated gene signatures and methods from cancer transcriptomics literature.
Availability And Implementation:
The hacksig R package is freely available on CRAN (https://CRAN.R-project.org/package=hacksig) under the MIT license. The source code can be found on GitHub at https://github.com/Acare/hacksig.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
Related Concept Videos
RACE - Rapid Amplification of cDNA Ends
Cell Specific Gene Expression
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Regulation of Expression at Multiple Steps
mRNA Stability and Gene Expression
Cis-acting Elements involved in mRNA stability
Constitutive and Regulated Gene Expression

