Tomatula

Katerina Boufea (Developer), I.N. Athanasiadis (Developer)

Research output: Non-textual formSoftware

Abstract

Tomatula is an application that uses Apache Hadoop and Apache Spark to store and query big Variant Calling datasets. It introduces a columnar storage format instead of the flat VCF format for storing the Variant Calling data and storing them across the Hadoop Distributed File System.
Original languageEnglish
Place of PublicationWageningen
PublisherBigDataWUR
Media of outputOnline
Publication statusPublished - 2017

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Cite this

Boufea, K. (Developer), & Athanasiadis, I. N. (Developer). (2017). Tomatula. Software, Wageningen: BigDataWUR. Retrieved from https://github.com/BigDataWUR/tomatula
Boufea, Katerina (Developer) ; Athanasiadis, I.N. (Developer). / Tomatula. [Software].
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title = "Tomatula",
abstract = "Tomatula is an application that uses Apache Hadoop and Apache Spark to store and query big Variant Calling datasets. It introduces a columnar storage format instead of the flat VCF format for storing the Variant Calling data and storing them across the Hadoop Distributed File System.",
author = "Katerina Boufea and I.N. Athanasiadis",
year = "2017",
language = "English",
publisher = "BigDataWUR",

}

Boufea, K & Athanasiadis, IN, Tomatula, 2017, Software, BigDataWUR, Wageningen.
Tomatula. Boufea, Katerina (Developer); Athanasiadis, I.N. (Developer). 2017. Wageningen : BigDataWUR.

Research output: Non-textual formSoftware

TY - ADVS

T1 - Tomatula

A2 - Boufea, Katerina

A2 - Athanasiadis, I.N.

PY - 2017

Y1 - 2017

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AB - Tomatula is an application that uses Apache Hadoop and Apache Spark to store and query big Variant Calling datasets. It introduces a columnar storage format instead of the flat VCF format for storing the Variant Calling data and storing them across the Hadoop Distributed File System.

M3 - Software

PB - BigDataWUR

CY - Wageningen

ER -

Boufea K (Developer), Athanasiadis IN (Developer). Tomatula Wageningen: BigDataWUR. 2017.