Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  MaxDIA enables library-based and library-free data-independent acquisition proteomics

Sinitcyn, P., Hamzeiy, H., Salinas Soto, F., Itzhak, D., McCarthy, F., Wichmann, C., et al. (2021). MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nature Biotechnology, 39, 1563-1573. doi:10.1038/s41587-021-00968-7.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Dateien

einblenden: Dateien
ausblenden: Dateien
:
s41587-021-00968-7.pdf (Verlagsversion), 4MB
Name:
s41587-021-00968-7.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
Open access funding provided by Max Planck Institute of Biochemistry.
:
41587_2021_968_MOESM1_ESM.pdf (Ergänzendes Material), 7MB
Name:
41587_2021_968_MOESM1_ESM.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Sinitcyn, Pavel1, Autor           
Hamzeiy, Hamid1, Autor           
Salinas Soto, Favio1, Autor           
Itzhak, Daniel2, Autor
McCarthy, Frank2, Autor
Wichmann, Christoph1, Autor           
Steger, Martin2, Autor
Ohmayer, Uli2, Autor
Distler, Ute2, Autor
Kaspar-Schoenefeld, Stephanie2, Autor
Prianichnikov, Nikita1, Autor           
Yilmaz, Sule1, Autor           
Rudolph, Jan Daniel1, Autor           
Tenzer, Stefan2, Autor
Perez-Riverol, Yasset2, Autor
Nagaraj, Nagarjuna2, Autor
Humphrey, Sean J.2, Autor
Cox, Jürgen1, Autor           
Affiliations:
1Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_2063284              
2external, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: LABEL-FREE QUANTIFICATION; PEPTIDE IDENTIFICATION; EXTRACTION; SOFTWARE; FORMAT; RATESBiotechnology & Applied Microbiology;
 Zusammenfassung: 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.
The software platform MaxDIA streamlines analysis of data-independent acquisition proteomics.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2021
 Publikationsstatus: Erschienen
 Seiten: 16
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISI: 000672337200001
DOI: 10.1038/s41587-021-00968-7
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : Marie Skłodowska-Curie grant agreement
Grant ID : 792536
Förderprogramm : Horizon 2020 (H2020)
Förderorganisation : European Commission (EC)

Quelle 1

einblenden:
ausblenden:
Titel: Nature Biotechnology
  Kurztitel : Nat. Biotechnol.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York : Gale Group Inc.
Seiten: - Band / Heft: 39 Artikelnummer: - Start- / Endseite: 1563 - 1573 Identifikator: ISSN: 1087-0156
CoNE: https://pure.mpg.de/cone/journals/resource/954926980065