Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions.

Kirkwood, Kaylie I; Pratt, Brian S; Shulman, Nicholas; Tamura, Kaipo; MacCoss, Michael J; MacLean, Brendan X; Baker, Erin S

Kirkwood, Kaylie I; Pratt, Brian S; Shulman, Nicholas; Tamura, Kaipo; MacCoss, Michael J; MacLean, Brendan X; Baker, Erin S.

Afiliação

Kirkwood KI; Department of Chemistry, North Carolina State University, Raleigh, NC, USA.
Pratt BS; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Shulman N; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Tamura K; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
MacCoss MJ; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
MacLean BX; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Baker ES; Department of Chemistry, North Carolina State University, Raleigh, NC, USA. ebaker@ncsu.edu.

Nat Protoc ; 17(11): 2415-2430, 2022 11.

Article em En | MEDLINE | ID: mdl-35831612

Assuntos

Espectrometria de Mobilidade Iônica; Lipidômica; Cromatografia Líquida/métodos; Espectrometria de Massas/métodos; Lipídeos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Mobilidade Iônica / Lipidômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Protoc Ano de publicação: 2022 Tipo de documento: Article

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