DeMix-Q protocols

View DeMix-Q computational protocol

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DeMix-Q specifications


Unique identifier OMICS_15187
Name DeMix-Q
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python
Computer skills Advanced
Stability Stable
OpenMS, Anaconda
Maintained Yes



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  • person_outline Roman Zubarev <>

Publication for DeMix-Q

DeMix-Q in pipeline

PMCID: 4795486
PMID: 26997865
DOI: 10.4137/BMI.S26229

[…] is based on two types of measurements. in the first case, the intensity of each peptide deriving from fragmentation of proteins is evaluated by dedicated softwares (eg, maxquant, openms, and demix-q). in the second case, the peak area or the spectral counting in the ms/ms analysis relative to a peptide is determined. there are several advantages in the label-free quantification modes. […]

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DeMix-Q in publications

PMCID: 5547443
PMID: 28673088
DOI: 10.1021/acs.jproteome.7b00248

[…] is taken as “given” and the information therein is utilized for feature detection. software tools for label-free quantification that implement a targeted approach include skyline and moff. the demix-q workflow contains a hybrid algorithm that uses both “de novo” and targeted feature detection phases., we present here a new algorithm for targeted feature detection, termed […]

PMCID: 5417831
PMID: 28302922
DOI: 10.1074/mcp.O117.067728

[…] respectively. the resulting peptide-spectral matches (psms) were filtered by q-value (<1%) for each individual run., peptide-level identification and quantification were integrated through the demix-q workflow (), in which peptide chromatographic features were peak-picked from the full-range (primary) ms spectra and tentatively associated with available psms using openms idmapper (ver. […]

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DeMix-Q institution(s)
Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, Sweden; Science for Life Laboratory, School of Biotechnology, Royal Institute of Technology-KTH, Solna, Sweden
DeMix-Q funding source(s)
This research was funded by Knut and Alice Wallenberg Foundation (Grant KAW 2010.0022).

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