Interactions of organisms with their environment are complex and environmental regulation at different levels of biological organization is often nonlinear. Therefore, the genotype to phenotype continuum requires study at multiple levels of organization. While studies of transcriptome regulation are now common for many species, quantitative studies of environmental effects on proteomes are needed. Here we report the generation of a data‐independent acquisition (DIA) assay library that enables simultaneous targeted proteomics of thousands of
- NSF-PAR ID:
- 10196255
- Date Published:
- Journal Name:
- Integrative and Comparative Biology
- Volume:
- 60
- Issue:
- 2
- ISSN:
- 1540-7063
- Page Range / eLocation ID:
- 304 to 317
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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