MassIVE MSV000078552

Partial Public

GNPS - MS/MS networking guided analysis of molecule and gene cluster families - Figure 1

Description

Paper Title: MS/MS networking guided analysis of molecule and gene cluster families Author List: Don Duy Nguyen, Cheng-Hsuan Wu, Wilna J. Moree, Anne Lamsa, Marnix H. Medema, Xiling Zhao, Ronnie G. Gavilan, Marystella Aparicio, Librada Atencio, Chanaye Jackson, Javier Ballesteros, Joel Sanchez, Jeramie D. Watrous, Vanessa V. Phelan, Corine van de Wiel, Roland D. Kersten, Samina Mehnaz, René De Mot, Elizabeth A. Shank, Pep Charusanti, Harish Nagarajan, Brendan M. Duggan, Bradley S. Moore, Nuno Bandeira, Bernhard Ø. Palsson, Kit Pogliano, Marcelino Gutiérrez, and Pieter C. Dorrestein Citation: Proc. Natl. Acad. Sci USA 2013 110(28):E2611-2620. doi: 10.1073/pnas.1303471110 PubMedID: 23798442 Brief description of the data submitted: RAW files used to generate Figure 1. Bacterial network of 42 strains of bacilli and 18 strains of pseudomonads with a cosine similarity score cutoff of 0.70. This network was generated using nanoDESI-MS/MS. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: N/A

Contact

Principal Investigators:
(in alphabetical order)
Pieter Dorrestein
Submitting User: t3hdon

Publications

Nguyen DD, Wu CH, Moree WJ, Lamsa A, Medema MH, Zhao X, Gavilan RG, Aparicio M, Atencio L, Jackson C, Ballesteros J, Sanchez J, Watrous JD, Phelan VV, van de Wiel C, Kersten RD, Mehnaz S, De Mot R, Shank EA, Charusanti P, Nagarajan H, Duggan BM, Moore BS, Bandeira N, Palsson BØ, Pogliano K, Gutiérrez M, Dorrestein PC.
MS/MS networking guided analysis of molecule and gene cluster families.
Proc. Natl. Acad. Sci. U.S.A. 2013 Jul 9;110(28):E2611-20. Epub 2013 Jun 24.

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GNPS content goes here (MSV000078552 [task=43cbb6fe127c4c4783e80207ac8a153a])
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Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.