ArMone statistics

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ArMone specifications


Unique identifier OMICS_25826
Name ArMone
Software type Application/Script
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java
Computer skills Medium
Version 2.0
Stability Stable
Maintained Yes



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  • person_outline Mingliang Ye <>
  • person_outline Hanfa Zou <>
  • person_outline Kai Cheng <>

Additional information

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Publication for ArMone

ArMone in publications

PMCID: 5041906
PMID: 27015365
DOI: 10.18632/oncotarget.8287

[…] and quantification data was further analyzed by perseus software (version with log2 transform and z-score normalization. the determination of site-specific glycoforms was performed by using armone proteomics data processing platform ( with some modifications []. first, the peptide sequence was identified using mascot […]

PMCID: 3650664
PMID: 23661174
DOI: 10.1038/srep01827

[…] in a single experiment. the mass difference between the nearest isotopic forms is 4 da (), which is essential to limit isotopic cluster overlap in the ms spectra. home-developed software quant-armone was used for proteome quantification by using six-plex isotope labeling strategy ( and ), and the quantification accuracy was demonstrated. finally, this six-plex isotope labeling strategy […]

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ArMone institution(s)
CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China; Graduate School of Chinese Academy of Sciences, Beijing, China
ArMone funding source(s)
Supported by the National Natural Sciences Foundation of China (No. 20675081, 20735004), the China State Key Basic Research Program Grant (2005CB522701, 2007CB914104), the China High Technology Research Program Grant (2006AA02A309), National Key Special Program on Infection Diseases (2008ZX10002-017), the Analytical Method Innovation program of MOST (2009IM031800), the Knowledge Innovation program of CAS (KJCX2.YW.HO9, KSCX2.YW.079) and the Knowledge Innovation program of DICP, and National Key Special Program on Infection Diseases (2008ZX10002-020), National Natural Sciences Foundation of China (No. 20605022, 90713017).

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