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Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z...

Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7941b0c1af134431a107e08d47fdcb14

Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'

About this item

Full title

Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2009-07, Vol.10 (1), p.227-227, Article 227

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Metabolomics experiments using Mass Spectrometry (MS) technology measure the mass to charge ratio (m/z) and intensity of ionised molecules in crude extracts of complex biological samples to generate high dimensional metabolite 'fingerprint' or metabolite 'profile' data. High resolution MS instruments perform routinely with a mass accuracy of < 5 pp...

Alternative Titles

Full title

Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7941b0c1af134431a107e08d47fdcb14

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7941b0c1af134431a107e08d47fdcb14

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/1471-2105-10-227

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