DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.

Huffman, R Gray; Chen, Albert; Specht, Harrison; Slavov, Nikolai

Huffman, R Gray; Chen, Albert; Specht, Harrison; Slavov, Nikolai.

Afiliação

Huffman RG; Department of Bioengineering , Northeastern University , Boston , Massachusetts 02115 , United States.
Chen A; Barnett Institute , Northeastern University , Boston , Massachusetts 02115 , United States.
Specht H; Department of Bioengineering , Northeastern University , Boston , Massachusetts 02115 , United States.
Slavov N; Barnett Institute , Northeastern University , Boston , Massachusetts 02115 , United States.

J Proteome Res ; 18(6): 2493-2500, 2019 06 07.

Article em En | MEDLINE | ID: mdl-31081635

Assuntos

Cromatografia Líquida/métodos; Proteômica/métodos; Software; Espectrometria de Massas em Tandem/métodos; Interpretação Estatística de Dados; Humanos

Palavras-chave

MaxQuant; R; Shiny; method development; optimizing mass spectrometry; quality control; single-cell analysis; single-cell proteomics by mass spectrometry; ultrasensitive proteomics; visualization

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Cromatografia Líquida / Proteômica / Espectrometria de Massas em Tandem Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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