XPRESSyourself

XPRESSyourself standardizes and automates computational analysis of ribosome profiling and RNA-seq data to quantify ribosome activity and protein translation dynamics.


Key Features:

  • Automation and Standardization: Automates complex analysis procedures and standardizes analyses to improve reproducibility.
  • Ribosome profiling and RNA-seq analysis: Performs computational analysis of ribosome profiling and RNA-seq data to monitor ribosome activity.
  • Best Practices Implementation: Implements current best practices in ribosome profiling analysis as a reference implementation.

Scientific Applications:

  • Neurodegenerative mechanism identification: Supports identification of mechanisms associated with neurodegenerative phenotypes from ribosome profiling and RNA-seq data.
  • ISRIB mechanism investigation: Enables exploration of neuroprotective mechanisms of the small-molecule ISRIB during acute cellular stress using ribosome profiling and RNA-seq.

Methodology:

Performs computational analysis of ribosome profiling and RNA-seq data, leveraging nucleic acid sequencing to monitor ribosome activity and provide insights into protein translation dynamics while automating and standardizing complex analysis procedures.

Topics

Details

License:
GPL-3.0
Added:
1/18/2021
Last Updated:
3/18/2021

Operations

Publications

Berg JA, Belyeu JR, Morgan JT, Ouyang Y, Bott AJ, Quinlan AR, Gertz J, Rutter J. XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data. PLOS Computational Biology. 2020;16(1):e1007625. doi:10.1371/journal.pcbi.1007625. PMID:32004313. PMCID:PMC7015430.

PMID: 32004313
PMCID: PMC7015430
Funding: - National Institute of Diabetes and Digestive and Kidney Diseases: 1T32DK11096601 - National Institutes of Health: 1S10OD021644-01A1, R35GM13185