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Summary
The present study presents a meta-analysis of the proteomics of determinants of infectious disease burden in eight operation rooms using a model derived from the model developed at the 2013 USGS workshop “Design for Results-Based Assessment of Systematic Assessment of Biosafety and Response to infectious disease .”
- Type
- letter
- Published
- 2014-03-01
- Cited by
- 2,659
- References
- 37
- Access
- Open access
- OpenAlex
- https://openalex.org/W2023010129
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:13764289
Keywords
Proteomics, Computational biology, Data science, Computer science, Biology
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- Quantitative Proteomics of Human Fibroblasts with I1061T Mutation in Niemann–Pick C1 (NPC1) Protein Provides Insights into the Disease Pathogenesis*
- Proteomic study of different culture medium serum volume fractions on RANKL-dependent RAW264.7 cells differentiating into osteoclasts
- A Systems Level Analysis of Vasopressin-mediated Signaling Networks in Kidney Distal Convoluted Tubule Cells
- Data from proteomic characterization of the role of Snail1 in murine mesenchymal stem cells and 3T3-L1 fibroblasts differentiation
- Five omic technologies are concordant in differentiating the biochemical characteristics of the berries of five grapevine (Vitis vinifera L.) cultivars
- Phosphorylation of plastoglobular proteins in Arabidopsis thaliana
- Comparison of the Proteome of Adult and Cord Erythroid Cells, and Changes in the Proteome Following Reticulocyte Maturation*
- Phospho-proteomic analyses of B-Raf protein complexes reveal new regulatory principles
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- The Human Proteome Organization-Proteomics Standards Initiative Quality Control Working Group: Making Quality Control More Accessible for Biological Mass Spectrometry.
- Studies on the Proteome of Human Hair - Identification of Histones and Deamidated Keratins
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