This dataset is associated with this manuscript: Metabolite discovery through global annotation of untargeted metabolomics data. Li Chen, Wenyun Lu, Lin Wang, Xi Xing, Xin Teng, Xianfeng Zeng, Antonio D Muscarella, Yihui Shen, Alexis Cowan, Melanie R McReynolds, Brandon Kennedy, Ashley M Lato, Shawn R Campagna, Mona Singh, Joshua Rabinowitz. The dataset has six main folders: (1) Yeast-MS1 (2) Yeast-labeling (3) Liver-MS1 (4) Liver-targeted-MS2 (separate folders for mzxml files and matched csv files used as the inclusion list to set up PRM targeted-MS2 runs) (5) Mouse-labeling (6) Glucosyl_taurine-liver-vs-synthesis. Please refer to README-raw-data-NetID-20210512.doc for more details.
[doi:10.25345/C5WV53]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: NetID liver yeast full-scan-MS1 PRM-targeted-MS2
Principal Investigators: (in alphabetical order) |
Joshua Rabinowitz, Princeton University, United States |
Submitting User: | wenyunlu |
Li S, Siddiqa A, Thapa M, Chi Y, Zheng S.
Trackable and scalable LC-MS metabolomics data processing using asari.
Nat Commun. 2023 Jul 11;14(1):4113. Epub 2023 Jul 11.
Li Chen, et al.
Metabolite discovery through global annotation of untargeted metabolomics data.
Nat Methods . 2021 Oct 28. doi: 10.1038/s41592-021-01303-3.
Li Chen, et al.
Metabolite discovery through global annotation of untargeted metabolomics data.
https://www.biorxiv.org/content/10.1101/2021.01.06.425569.
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 | |
FTP Download Link (click to copy):
|