Please see the appended files for a detailed treatise on the project. Briefly, reef corals were sampled seasonally, with the biopsies analyzed via proteomics (iTRAQ+nano-liquid chromatography/MS/MS). The proteomic data were then input into machine-learning models that made predictions about coral colony bleaching susceptibility. In this way, the previously developed proteomic-based machine-learning models were effectively field-tested. With respect to file naming, there were 36 samples analyzed across six iTRAQ "batches" (A, B, C, D, E, and F). Please see Table 1 (csv) for a key as to how to link the iTRAQ labels/tags with the respective samples. For each batch, three technical replicates were analyzed by nano-liquid chromatography followed by mass spectrometry (x 2; n=18 RAW and 18 MZML files). Each MZML peak file was queried against a host coral (Orbicella faveolata) and a composite Symbiodiniaceae (endosymbiotic dinoflagellates) transcriptome, generating 36 mzTAB results files in total.
[doi:10.25345/C5DV1CS22]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: climate change ; dinoflagellate ; proteomics ; predictive modeling ; machine learning ; coral reefs
Principal Investigators: (in alphabetical order) |
ANDERSON MAYFIELD, University of Miami, United States |
Submitting User: | abmayfield |
Anderson B. Mayfield, Chiahsin Lin.
Field-testing a proteomics-derived machine-learning model for predicting coral bleaching susceptibility.
Mayfield AB, Lin C (2023) Field-testing a proteomics-derived machine-learning model for predicting coral bleaching susceptibility. Applied Sciences 13, 1718.
Number of Files: | |
Total Size: | |
Spectra: | |
Subscribers: | |
Owner | Reanalyses | |
---|---|---|
Experimental Design | ||
Conditions:
|
||
Biological Replicates:
|
||
Technical Replicates:
|
||
Identification Results | ||
Proteins (Human, Remapped):
|
||
Proteins (Reported):
|
||
Peptides:
|
||
Variant Peptides:
|
||
PSMs:
|
||
Quantification Results | ||
Differential Proteins:
|
||
Quantified Proteins:
|
||
Browse Dataset Files | Browse Results |
Browse Quantification Results | |
FTP Download Link (click to copy):
|