Tomatula

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

Research output: Non-textual form › Software

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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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].
@misc{bcf8cd0bfe0f480e8cff0b1cac422cc9,
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 form › Software

TY - ADVS

T1 - Tomatula

A2 - Boufea, Katerina

A2 - Athanasiadis, I.N.

PY - 2017

Y1 - 2017

N2 - 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.

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.

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Research Output

Managing Variant Calling Files the Big Data Way: Using HDFS and Apache Parquet

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Datasets

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Dataset