Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes
Temple University · North Carolina State University
Abstract
Inference of how evolutionary forces have shaped extant genetic diversity is a cornerstone of modern comparative sequence analysis. Advances in sequence generation and increased statistical sophistication of relevant methods now allow researchers to extract ever more evolutionary signal from the data, albeit at an increased computational cost. Here, we announce the release of Datamonkey 2.0, a completely re-engineered version of the Datamonkey web-server for analyzing evolutionary signatures in sequence data. For this endeavor, we leveraged recent developments in open-source libraries that facilitate interactive, robust, and scalable web application development. Datamonkey 2.0 provides a carefully curated…
Citation impact
- FWCI
- 23.32
- Percentile
- 100%
- References
- 27
Authors
6Topics & keywords
- Codebase
- Computer science
- Biology
- Scalability
- Web application
- Data science
- Python (programming language)
- JavaScript