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.