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Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identifica...

Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identifica...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_795c6d6e96bb403090ddd88fdd2c3e71

Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification

About this item

Full title

Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2017-05, Vol.8 (1), p.15473-15473, Article 15473

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

We describe optimized fragmentation schemes and data analysis strategies substantially enhancing the depth and accuracy in identifying protein cross-links using non-restricted whole proteome databases. These include a novel hybrid data acquisition strategy to sequence cross-links at both MS2 and MS3 level and a new algorithmic design XlinkX v2.0 fo...

Alternative Titles

Full title

Optimized fragmentation schemes and data analysis strategies for proteome-wide cross-link identification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_795c6d6e96bb403090ddd88fdd2c3e71

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_795c6d6e96bb403090ddd88fdd2c3e71

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/ncomms15473

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