Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Briefings in Bioinformatics Year : 2022

Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology

Dagmar Waltemath
David Nickerson
Vincent Noël
Tomáš Helikar
Laurence Calzone

Abstract

Computational models are often employed in systems biology to study the dynamic behaviours of complex systems. With the rise in the number of computational models, finding ways to improve the reusability of these models and their ability to reproduce virtual experiments becomes critical. Correct and effective model annotation in community-supported and standardised formats is necessary for this improvement. Here, we present recent efforts toward a common framework for annotated, accessible, reproducible and interoperable computational models in biology, and discuss key challenges of the field.
Fichier principal
Vignette du fichier
Addressing%20barriers%20in%20comprehensiveness%2C%20accessibility%2C%20reusability%2C%20interoperability%20and%20reproducibility%20of%20computational%20.pdf (962.67 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03690604 , version 1 (22-11-2023)

Identifiers

Cite

Anna Niarakis, Dagmar Waltemath, James Glazier, Falk Schreiber, Sarah Keating, et al.. Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology. Briefings in Bioinformatics, 2022, 23 (4), pp.1-11. ⟨10.1093/bib/bbac212⟩. ⟨hal-03690604⟩
102 View
18 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More