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Lexicon visualization library and javascript for scientific data visualization. / Tanyalcin, Ibrahim; Assaf, Carla Al; Ferte, Julien; Ancien, François; Khan, Taushif; Smits, Guillaume; Rooman, Marianne; Vranken, Wim.

In: Computing in Science and Engineering, Vol. 20, No. 1, 01.02.2018, p. 50-65.

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Tanyalcin I, Assaf CA, Ferte J, Ancien F, Khan T, Smits G et al. Lexicon visualization library and javascript for scientific data visualization. Computing in Science and Engineering. 2018 Feb 1;20(1):50-65. https://doi.org/10.1109/MCSE.2018.011111125

Author

Tanyalcin, Ibrahim ; Assaf, Carla Al ; Ferte, Julien ; Ancien, François ; Khan, Taushif ; Smits, Guillaume ; Rooman, Marianne ; Vranken, Wim. / Lexicon visualization library and javascript for scientific data visualization. In: Computing in Science and Engineering. 2018 ; Vol. 20, No. 1. pp. 50-65.

BibTeX

@article{9634cca60fd44937828900f3237d0ef2,
title = "Lexicon visualization library and javascript for scientific data visualization",
abstract = "It is becoming increasingly challenging to efficiently visualize and extract useful insight from complex and big datasets. JavaScript stands out as a suitable programming choice that offers mature libraries, easy implementation, and extensive customization, all of which stay in the shadow of new and rapid developments in the language. To illustrate the use of JavaScript in a scientific context, this article elaborates on Lexicon, a collection of JavaScript libraries for generating interactive visualizations in bioinformatics and other custom libraries.",
author = "Ibrahim Tanyalcin and Assaf, {Carla Al} and Julien Ferte and Fran{\cc}ois Ancien and Taushif Khan and Guillaume Smits and Marianne Rooman and Wim Vranken",
year = "2018",
month = "2",
day = "1",
doi = "10.1109/MCSE.2018.011111125",
language = "English",
volume = "20",
pages = "50--65",
journal = "Comput Sci Eng",
issn = "1521-9615",
publisher = "IEEE Computer Society",
number = "1",

}

RIS

TY - JOUR

T1 - Lexicon visualization library and javascript for scientific data visualization

AU - Tanyalcin, Ibrahim

AU - Assaf, Carla Al

AU - Ferte, Julien

AU - Ancien, François

AU - Khan, Taushif

AU - Smits, Guillaume

AU - Rooman, Marianne

AU - Vranken, Wim

PY - 2018/2/1

Y1 - 2018/2/1

N2 - It is becoming increasingly challenging to efficiently visualize and extract useful insight from complex and big datasets. JavaScript stands out as a suitable programming choice that offers mature libraries, easy implementation, and extensive customization, all of which stay in the shadow of new and rapid developments in the language. To illustrate the use of JavaScript in a scientific context, this article elaborates on Lexicon, a collection of JavaScript libraries for generating interactive visualizations in bioinformatics and other custom libraries.

AB - It is becoming increasingly challenging to efficiently visualize and extract useful insight from complex and big datasets. JavaScript stands out as a suitable programming choice that offers mature libraries, easy implementation, and extensive customization, all of which stay in the shadow of new and rapid developments in the language. To illustrate the use of JavaScript in a scientific context, this article elaborates on Lexicon, a collection of JavaScript libraries for generating interactive visualizations in bioinformatics and other custom libraries.

UR - http://www.scopus.com/inward/record.url?scp=85042214305&partnerID=8YFLogxK

U2 - 10.1109/MCSE.2018.011111125

DO - 10.1109/MCSE.2018.011111125

M3 - Article

AN - SCOPUS:85042214305

VL - 20

SP - 50

EP - 65

JO - Comput Sci Eng

JF - Comput Sci Eng

SN - 1521-9615

IS - 1

ER -

ID: 36655896