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DIA-Umpire is an open source Java program for computational analysis of data independent acquisition (DIA) mass spectrometry-based proteomics data. It enables untargeted peptide and protein identification and quantitation using DIA data, and also incorporates targeted extraction to reduce the number of cases of missing quantitation.

Type Size Name Uploaded Downloads Labels
conda 120.5 MB | noarch/dia_umpire-2.1.6-hdfd78af_1.tar.bz2  3 years and 10 months ago 2568 main
conda 120.5 MB | noarch/dia_umpire-2.1.6-0.tar.bz2  5 years and 7 months ago 333 main
conda 120.5 MB | noarch/dia_umpire-2.1.3-1.tar.bz2  6 years and 6 months ago 3034 main cf201901
conda 120.5 MB | osx-64/dia_umpire-2.1.3-py35_0.tar.bz2  7 years and 4 days ago 103 main cf201901
conda 120.5 MB | osx-64/dia_umpire-2.1.3-py27_0.tar.bz2  7 years and 4 days ago 340 main cf201901
conda 120.5 MB | osx-64/dia_umpire-2.1.3-py36_0.tar.bz2  7 years and 4 days ago 1799 main cf201901
conda 120.5 MB | linux-64/dia_umpire-2.1.3-py35_0.tar.bz2  7 years and 4 days ago 557 main cf201901
conda 120.5 MB | linux-64/dia_umpire-2.1.3-py36_0.tar.bz2  7 years and 4 days ago 498 main cf201901
conda 120.5 MB | linux-64/dia_umpire-2.1.3-py27_0.tar.bz2  7 years and 4 days ago 671 main cf201901
conda 120.5 MB | linux-64/dia_umpire-2.1.2-py36_0.tar.bz2  7 years and 8 months ago 761 main cf201901
conda 120.5 MB | osx-64/dia_umpire-2.1.2-py36_0.tar.bz2  7 years and 8 months ago 4189 main cf201901
conda 120.5 MB | osx-64/dia_umpire-2.1.2-py27_0.tar.bz2  8 years and 4 months ago 302 main cf201901
conda 120.5 MB | osx-64/dia_umpire-2.1.2-py35_0.tar.bz2  8 years and 4 months ago 260 main cf201901
conda 120.5 MB | osx-64/dia_umpire-2.1.2-py34_0.tar.bz2  8 years and 4 months ago 93 main cf201901
conda 120.5 MB | linux-64/dia_umpire-2.1.2-py35_0.tar.bz2  8 years and 4 months ago 638 main cf201901
conda 120.5 MB | linux-64/dia_umpire-2.1.2-py27_0.tar.bz2  8 years and 4 months ago 746 main cf201901
conda 120.5 MB | linux-64/dia_umpire-2.1.2-py34_0.tar.bz2  8 years and 4 months ago 715 main cf201901

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