Interdisciplinary approach towards a systems medicine toolbox using the example of inflammatory diseases.

ABSTRACT: Electronic access to multiple data types, from generic information on biological systems at different functional and cellular levels to high-throughput molecular data from human patients, is a prerequisite of successful systems medicine research. However, scientists often encounter technical and conceptual difficulties that forestall the efficient and effective use of these resources. We summarize and discuss some of these obstacles, and suggest ways to avoid or evade them.The methodological gap between data capturing and data analysis is huge in human medical research. Primary data producers often do not fully apprehend the scientific value of their data, whereas data analysts maybe ignorant of the circumstances under which the data were collected. Therefore, the provision of easy-to-use

SUBMITTER: Bauer CR 

PROVIDER: S-EPMC5428997 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature