Log in to save to my catalogue

Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data

Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7971188

Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data

About this item

Full title

Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data

Publisher

New York: Nature Publishing Group US

Journal title

Nature biotechnology, 2021-02, Vol.39 (2), p.169-173

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

We engineered a machine learning approach, MSHub, to enable auto-deconvolution of gas chromatography–mass spectrometry (GC–MS) data. We then designed workflows to enable the community to store, process, share, annotate, compare and perform molecular networking of GC–MS data within the Global Natural Product Social (GNPS) Molecular Networking analys...

Alternative Titles

Full title

Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7971188

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7971188

Other Identifiers

ISSN

1087-0156

E-ISSN

1546-1696

DOI

10.1038/s41587-020-0700-3

How to access this item