Open source libraries and frameworks for biological data visualisation: A guide for developers

Recent advances in high‐throughput experimental techniques have led to an exponential increase in both the size and the complexity of the data sets commonly studied in biology. Data visualisation is increasingly used as the key to unlock this data, going from hypothesis generation to model evaluation and tool implementation. It is becoming more and more the heart of bioinformatics workflows, enabling scientists to reason and communicate more effectively. In parallel, there has been a corresponding trend towards the development of related software, which has triggered the maturation of different visualisation libraries and frameworks. For bioinformaticians, scientific programmers and software developers, the main challenge is to pick out the most fitting one (s) to create clear, meaningful and integrated data visualisation for their particular use cases. In this review, we introduce a collection of open source or free to use libraries and frameworks for creating data visualisation, covering the generation of a wide variety of charts and graphs. We will focus on software written in Java, JavaScript or Python. We truly believe this software offers the potential to turn tedious data into exciting visual stories.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Open source libraries and frameworks for biological data visualisation: A guide for developers ; volume:15 ; number:8 ; year:2015 ; pages:1356-1374 ; extent:19
Proteomics ; 15, Heft 8 (2015), 1356-1374 (gesamt 19)

Urheber
Wang, Rui
Perez‐Riverol, Yasset
Hermjakob, Henning
Vizcaíno, Juan Antonio

DOI
10.1002/pmic.201400377
URN
urn:nbn:de:101:1-2022112507590825408171
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:20 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Beteiligte

Ähnliche Objekte (12)