Summary of Study ST001173
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000785. The data can be accessed directly via it's Project DOI: 10.21228/M86T1D This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST001173 |
| Study Title | Combinatorial metabolic mixtures for encoding abstract digital data |
| Study Type | MALDI MS |
| Study Summary | We present several kilobyte-scale image datasets stored in synthetic metabolomes, which are decoded with accuracy exceeding 98-99% using multi-mass logistic regression. |
| Institute | Brown University |
| Department | Engineering |
| Laboratory | Rosenstein Lab |
| Last Name | Kennedy |
| First Name | Eamonn |
| Address | Barus & Holley room 353, 184 Hope St |
| eamonn_kennedy@brown.edu | |
| Phone | 7737507192 |
| Submit Date | 2019-04-19 |
| Publications | E. Kennedy et al. “Encoding information in synthetic metabolomes” Plos One, accepted, 2019 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | hdf5 |
| Analysis Type Detail | MALDI-MS |
| Release Date | 2019-05-15 |
| Release Version | 1 |
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Project:
| Project ID: | PR000785 |
| Project DOI: | doi: 10.21228/M86T1D |
| Project Title: | Combinatorial metabolic mixtures for encoding abstract digital data |
| Project Type: | FTICR-MS acquisition of 1536-spot MALDI plates, comprising thousands of mixtures of common metabolites |
| Project Summary: | This data comprises FT-ICR MS readouts of 1536-spot MALDI plates. Each spectra is a measure of a specific metabolic mixture from a library of 36 common metabolites. The combinatorial mixtures of metabolites are used to encode abstract digital data (images). A comprehensive list of the metabolites and specific mixture present in each spot on each plate are provided in metadata files. Data is provided in open-source .hdf5 files. |
| Institute: | Brown University |
| Department: | Engineering |
| Laboratory: | Rosenstein Lab |
| Last Name: | Kennedy |
| First Name: | Eamonn |
| Address: | Barus & Holley room 446, 184 Hope St |
| Email: | eamonn_kennedy@brown.edu |
| Phone: | 7737507192 |
| Funding Source: | DARPA |
| Publications: | E. Kennedy et al. “Encoding information in synthetic metabolomes” Plos One, accepted, 2019 |
| Contributors: | Eamonn Kennedy, Christopher E. Arcadia, Joseph Geiser Peter M. Weber, Christopher Rose, Brenda M. Rubenstein and Jacob K. Rosenstein |
