Summary of project PR000785
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
| 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 |
Summary of all studies in project PR000785
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST001173 | Combinatorial metabolic mixtures for encoding abstract digital data | Escherichia coli | Brown University | MS | 2019-05-15 | 1 | 3 | Uploaded data (32.7G)* |
