Open AccessReproducibility in systems biology modelling
Author(s) -
Tiwari Krishna,
Kananathan Sarubini,
Roberts Matthew G,
Meyer Johannes P,
Sharif Shohan Mohammad Umer,
Xavier Ashley,
Maire Matthieu,
Zyoud Ahmad,
Men Jinghao,
Ng Szeyi,
Nguyen Tung V N,
Glont Mihai,
Hermjakob Henning,
MalikSheriff Rahuman S
Publication year - 2021
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.15252/msb.20209982
Subject(s) - biology , systems biology , computational biology , reproducibility , chromatography , chemistry
Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and propose a scorecard for improving reproducibility in this field.