SEEK: a systems biology data and model management platform

2015114 citationsJournal Articlediamond Open Access

Authors

Katherine Wolstencroft · Leiden University

Stuart Owen · University of Manchester

Olga Krebs · Heidelberg Institute for Theoretical Studies

Quyen Le Hoang Thuy To Nguyen · Heidelberg Institute for Theoretical Studies

Natalie Stanford · University of Manchester

Martin Golebiewski · Heidelberg Institute for Theoretical Studies

Andreas Weidemann

Abstract

The SEEK platform has been adopted by many systems biology consortia across Europe. It is a data management environment that has a low barrier of uptake and provides rich resources for collaboration. This paper provides an update on the functions and features of the SEEK software, and describes the use of the SEEK in the SysMO consortium (Systems biology for Micro-organisms), and the VLN (virtual Liver Network), two large systems biology initiatives with different research aims and different scientific communities.

Topics & Keywords

Biomedical Text Mining and Ontologies Bioinformatics and Genomic Networks Scientific Computing and Data Management

UN Sustainable Development Goals

Industry, innovation and infrastructure

Publication Details

Published in: BMC Systems Biology

Volume 9, Issue 1, pp. 33-33

DOI: 10.1186/s12918-015-0174-y

Field-Weighted Citation Impact: 4.82