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dc.contributor.authorBeraldi, Darioen
dc.date.accessioned2017-03-23T17:10:22Z
dc.date.available2017-03-23T17:10:22Z
dc.date.issued2017-01-24en
dc.identifier.issn1367-4803
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/263196
dc.description.abstractMotivation: Current genome browsers are designed to work via graphical user interfaces (GUIs), which, however intuitive, are not amenable to operate within console terminals and therefore are difficult to streamline or integrate in scripts. To circumvent these limitations, ASCIIGenome runs exclusively via command line interface to display genomic data directly in a terminal window. By following the same philosophy of UNIX tools, ASCIIGenome aims to be easily integrated with the command line, including batch processing of data, and therefore enables an effective exploration of the data. Implementation: ASCIIGenome is written in Java. Consequently it is a cross-platform tool and requires minimal or no installation. Some of the common genomic data types are supported and data access on remote ftp servers is possible. Speed and memory footprint are comparable to or better than those of common genome browsers. Availability: Software and source code (MIT License) are available at https://github.com/dariober/ASCIIGenome with detailed documentation at http://asciigenome.readthedocs.io
dc.description.sponsorshipD.B. is part of the Balasubramanian laboratory, which is supported by core funding from Cancer Research UK (C14303/A17197).
dc.languageengen
dc.language.isoenen
dc.publisherOxford University Press
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleASCIIGenome: A command line genome browser for console terminals.en
dc.typeArticle
prism.publicationDate2017en
prism.publicationNameBioinformaticsen
dc.identifier.doi10.17863/CAM.8507
dcterms.dateAccepted2017-01-05en
rioxxterms.versionofrecord10.1093/bioinformatics/btx007en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2017-01-24en
dc.identifier.eissn1367-4811
rioxxterms.typeJournal Article/Reviewen


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International