Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/109347
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Type: Journal article
Title: bíogo: a simple high-performance bioinformatics toolkit for the Go language
Author: Kortschak, R.
Snyder, J.
Maragkakis, M.
Adelson, D.
Citation: The Journal of Open Source Software, 2017; 2(10):1
Publisher: Open Journals
Issue Date: 2017
ISSN: 2475-9066
Statement of
Responsibility: 
R. Daniel Kortschak, Josh Bleecher Snyder, Manolis Maragkakis, and David L. Adelson
Abstract: biogo is a framework designed to ease development and maintenance of computationally intensive bioinformatics applications (Kortschak and Adelson 2014). The library is written in the Go programming language, a garbage-collected, strictly typed compiled language with built in support for concurrent processing, and performance comparable to C and Java. It provides a variety of data types and utility functions to facilitate manipulation and analysis of large scale genomic and other biological data. biogo uses a concise and expressive syntax, lowering the barriers to entry for researchers needing to process large data sets with custom analyses while retaining computational safety and ease of code review. We believe biogo provides an excellent environment for training and research in computational biology because of its combination of strict typing, simple and expressive syntax, and high performance.
Rights: Authors of JOSS papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License(CC-BY).
RMID: 0030066975
DOI: 10.21105/joss.00167
Appears in Collections:Genetics publications

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