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Updated: Jun 8, 2026
07:28
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Professional networks in the life sciences: linking the linked.
Thomas S Deisboeck1, Jonathan Sagotsky
1Complex Biosystems Modeling Laboratory, Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
Cancer Informatics
|September 15, 2010
Summary
The internet enables online expert communities, but advancing complex scientific research, like cancer studies, requires better data sharing. Facilitating community-to-community interaction and cross-domain data access is crucial for future interdisciplinary life sciences innovation.
Area of Science:
- Life Sciences
- Interdisciplinary Research
- Online Communities
Background:
- The internet has fostered numerous online expert communities.
- Advancing complex scientific questions necessitates diverse expertise and data types.
- Current research faces challenges in interdisciplinary collaboration.
Purpose of the Study:
- To highlight the importance of community-to-community interaction in global interdisciplinary life sciences research.
- To identify key areas for innovation in data query, access, and retrieval.
Main Methods:
- Literature review on online expert communities and interdisciplinary research.
- Analysis of challenges in data sharing and collaboration across scientific domains.
- Identification of technological needs for enhanced scientific interaction.
Main Results:
- Online expert communities are prevalent but face collaboration hurdles.
- Interdisciplinary research, particularly in cancer, requires seamless data integration.
- Cross-domain data query, access, and retrieval are critical innovation areas.
Conclusions:
- Enhancing community-to-community interaction is vital for global life sciences.
- Innovations in data management are essential to overcome current research limitations.
- Facilitating data access will accelerate progress in complex scientific fields.
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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