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MaxDIA enables library-based and library-free data-independent acquisition proteomics.
Sinitcyn, Pavel; Hamzeiy, Hamid; Salinas Soto, Favio; Itzhak, Daniel; McCarthy, Frank; Wichmann, Christoph; Steger, Martin; Ohmayer, Uli; Distler, Ute; Kaspar-Schoenefeld, Stephanie; Prianichnikov, Nikita; Yilmaz, Sule; Rudolph, Jan Daniel; Tenzer, Stefan; Perez-Riverol, Yasset; Nagaraj, Nagarjuna; Humphrey, Sean J; Cox, Jürgen.
Afiliação
  • Sinitcyn P; Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.
  • Hamzeiy H; Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.
  • Salinas Soto F; Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.
  • Itzhak D; Chan Zuckerberg Biohub, San Francisco, CA, USA.
  • McCarthy F; Chan Zuckerberg Biohub, San Francisco, CA, USA.
  • Wichmann C; Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.
  • Steger M; Evotec München GmbH, Martinsried, Germany.
  • Ohmayer U; Evotec München GmbH, Martinsried, Germany.
  • Distler U; Institute for Immunology, Johannes Gutenberg University, Mainz, Germany.
  • Kaspar-Schoenefeld S; Bruker Daltonik, GmbH, Bremen, Germany.
  • Prianichnikov N; Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.
  • Yilmaz S; Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.
  • Rudolph JD; Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany.
  • Tenzer S; Bosch Center for Artificial Intelligence, Renningen, Germany.
  • Perez-Riverol Y; Institute for Immunology, Johannes Gutenberg University, Mainz, Germany.
  • Nagaraj N; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
  • Humphrey SJ; Bruker Daltonik, GmbH, Bremen, Germany.
  • Cox J; School of Life and Environmental Sciences, Charles Perkins Centre, University of Sydney, Camperdown, New South Wales, Australia.
Nat Biotechnol ; 39(12): 1563-1573, 2021 12.
Article em En | MEDLINE | ID: mdl-34239088
MaxDIA is a software platform for analyzing data-independent acquisition (DIA) proteomics data within the MaxQuant software environment. Using spectral libraries, MaxDIA achieves deep proteome coverage with substantially better coefficients of variation in protein quantification than other software. MaxDIA is equipped with accurate false discovery rate (FDR) estimates on both library-to-DIA match and protein levels, including when using whole-proteome predicted spectral libraries. This is the foundation of discovery DIA-hypothesis-free analysis of DIA samples without library and with reliable FDR control. MaxDIA performs three- or four-dimensional feature detection of fragment data, and scoring of matches is augmented by machine learning on the features of an identification. MaxDIA's bootstrap DIA workflow performs multiple rounds of matching with increasing quality of recalibration and stringency of matching to the library. Combining MaxDIA with two new technologies-BoxCar acquisition and trapped ion mobility spectrometry-both lead to deep and accurate proteome quantification.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Biotechnol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Biotechnol Ano de publicação: 2021 Tipo de documento: Article