DISBi: A flexible framework for integrating systems biology data

Autor(en): Busche, R.
Dannheim, H.
Schomburg, D.
Herausgeber: Vidal, M.-E.
Auer, S.
Stichwörter: Biology; Data exchange; Data integration; Electronic data interchange, Flexible framework; Heterogeneous data; Integrating systems; Online environments; Source codes; Systems biology; Workgroups, Data integration
Erscheinungsdatum: 2019
Herausgeber: Springer Verlag
Enthalten in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band: 11371 LNBI
Startseite: 97
Seitenende: 102
Zusammenfassung: 
Systems biology aims at understanding an organism in its entirety. This objective can only be achieved with the joint effort of specialized work groups. These collaborating groups need a centralized platform for data exchange. Instead data is often uncoordinatedly managed using heterogeneous data formats. Such circumstances present a major hindrance to gaining a global understanding of the data and to automating analysis routines. DISBi is a framework for creating an integrated online environment that solves these problems. It enables researchers to filter, integrate and analyze data directly in the browser. A DISBi application dynamically adapts to its data model. Thus DISBi offers a solution for a wide range of systems biology projects. An example installation is available at disbi.org. Source code and documentation are available from https://github.com/DISBi/django-disbi. © Springer Nature Switzerland AG 2019.
Beschreibung: 
Conference of 13th International Conference on Data Integration in the Life Sciences, DILS 2018 ; Conference Date: 20 November 2018 Through 21 November 2018; Conference Code:222489
ISBN: 9783030060152
ISSN: 03029743
DOI: 10.1007/978-3-030-06016-9_10
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059669462&doi=10.1007%2f978-3-030-06016-9_10&partnerID=40&md5=d54ec5293daddeac43e879b352ad2d14

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