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dc.date.accessioned | 2022-02-02T17:26:01Z | |
dc.date.available | 2022-02-02T17:26:01Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/130340 | |
dc.description.abstract | Progeny analyses are useful in biological sciences for various purposes, such as improving individuals in new generations or carrying out molecular analysis of the transmission of genetic characteristics. Analyzing these data by making comparisons between individuals of a generation with their offspring is not a trivial task, and increases in complexity as more and more generations are incorporated. In this article, we present TreeSpark, an open source tool to carry out progeny analysis and provides functionality that allows simple access to the information of the individuals and their relations both as progenitors and descendants. This tool is developed as a Python module, which in turn inherits the distributed processing features of Spark, allowing it to process large volumes of progeny information. TreeSpark is compared with other similar tools, finding TreeSpark much simpler to use. | en |
dc.format.extent | 251-260 | es |
dc.language | en | es |
dc.subject | Spark | es |
dc.subject | Big data | es |
dc.subject | Progeny analysis | es |
dc.subject | Genealogy | es |
dc.subject | Analytics | es |
dc.title | TreeSpark: A Distributed Tool for Progeny Analysis based on Spark | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.isbn | 978-987-633-574-4 | es |
sedici.creator.person | López, Paula | es |
sedici.creator.person | Hasperué, Waldo | es |
sedici.creator.person | Quiroga, Facundo Manuel | es |
sedici.creator.person | Ronchetti, Franco | es |
sedici.description.note | Workshop: WBDMD - Base de Datos y Minería de Datos | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Red de Universidades con Carreras en Informática | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
sedici.date.exposure | 2021-10 | |
sedici.relation.event | XXVII Congreso Argentino de Ciencias de la Computación (CACIC) (Modalidad virtual, 4 al 8 de octubre de 2021) | es |
sedici.description.peerReview | peer-review | es |
sedici.relation.isRelatedWith | http://sedici.unlp.edu.ar/handle/10915/129809 | es |
sedici.relation.bookTitle | Memorias del Congreso Argentino en Ciencias de la Computación - CACIC 2021 | es |