Abstract
Cellunomics envisions the new branch of cell, which integrates genomics and proteomics with a new knowledge base built from temporal and spatial data on the chemical and molecular interrelationships of cellular components, i.e., cellome. Cellunomics helps in finding cell-specific protein and protein-protein interaction using cell-specific mRNA and protein repository. A flexible statistical-model-based clustering approach is introduced for identifying cell populations and the data revealed by the cellome is informational as well as physical. Cellunomics aids the automated, high-content platforms, to increase the scope and scale of experiments traditionally executed through interactive microscopy.
| Original language | English |
|---|---|
| Pages (from-to) | 674-690 |
| Number of pages | 17 |
| Journal | International Journal of Bioinformatics Research and Applications |
| Volume | 5 |
| Issue number | 6 |
| DOIs | |
| State | Published - Oct 2009 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Cellome
- Chromatography
- Cluster
- Electrophoresis
- Signalling
- Spectrometry
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