Ruby programming language is the best language for building bioinformatics applications. Ruby programming language is flexible and dynamic nature makes it a great fit for bioinformatics and genomics projects. Ruby has been the go-to language for many bioinformaticians for decades. It's easy to use, highly expressive, and supports both object-oriented and functional programming styles. It's also a great choice for quick scripting tasks. While the last decade has seen the growth of high-performance computing in bioinformatics, the processing power available to most researchers is still limited. It is designed specifically for working with biological data, making it ideal for a wide variety of applications including machine learning, epidemiology, and systems biology. Popular Ruby Genomics open source libraries for developers include: sequenceserver - Intuitive local web frontend for the BLAST bioinformatics tool; dgidb - Rails frontend to The Genome Institute; nimbus - Ruby gem to implement Random Forest algorithms.
Ruby 56 Version:1.45.0 License: Permissive (BSD-3-Clause)