Proteomics has become a promising domain for potential future breakthroughs in personalized medicine. However, its relatively young age compared to genomics, its high complexity and the huge computing requirements have so far been a barrier for using its insights in clinical practice. Due to the many challenges to tackle and the nature of the domain in coping with these challenges, a huge landscape of specialized tools has evolved in an uncontrolled manner that are limited in their interoperability, integrability and reusability. Consequently, there is a need to reduce the overall complexity in the proteomics domain and solve further challenges of it. However, the proteomics domain and its characteristics has not been introduced to information systems (IS) research yet. Therefore, this paper aims at introducing proteomics to IS research, providing necessary knowledge about the tool landscape for information system design and highlighting implications for future IS research.
Shraideh, Marwin and Schreieck, Maximilian, "REQUIREMENTS FOR TRANSFERRING VALUE FROM PROTEOMICS RESEARCH TO PERSONALIZED MEDICINE: INSIGHTS FROM THE CURRENT TOOL LANDSCAPE" (2021). ECIS 2021 Research Papers. 153.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.