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dc.contributor.authorKortschak, R.en
dc.contributor.authorSnyder, J.en
dc.contributor.authorMaragkakis, M.en
dc.contributor.authorAdelson, D.en
dc.identifier.citationThe Journal of Open Source Software, 2017; 2(10):1en
dc.description.abstractbiogo 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.en
dc.description.statementofresponsibilityR. Daniel Kortschak, Josh Bleecher Snyder, Manolis Maragkakis, and David L. Adelsonen
dc.publisherOpen Journalsen
dc.rightsAuthors of JOSS papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License(CC-BY).en
dc.titlebíogo: a simple high-performance bioinformatics toolkit for the Go languageen
dc.typeJournal articleen
pubs.library.collectionGenetics publicationsen
dc.identifier.orcidKortschak, R. [0000-0001-8295-2301]en
dc.identifier.orcidAdelson, D. [0000-0003-2404-5636]en
Appears in Collections:Genetics publications

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