about
Pyteomics--a Python framework for exploratory data analysis and rapid software prototyping in proteomics.Probing the mechanisms of ambient ionization by laser-induced fluorescence spectroscopy.Comparative evaluation of label-free quantification methods for shotgun proteomics.Advanced Precursor Ion Selection Algorithms for Increased Depth of Bottom-Up Proteomic Profiling.Brute-Force Approach for Mass Spectrometry-Based Variant Peptide Identification in Proteogenomics without Personalized Genomic Data.MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity.Unbiased False Discovery Rate Estimation for Shotgun Proteomics Based on the Target-Decoy Approach.Adaptation of Decoy Fusion Strategy for Existing Multi-Stage Search Workflows.Empirical multidimensional space for scoring peptide spectrum matches in shotgun proteomics.FractionOptimizer: a method for optimal peptide fractionation in bottom-up proteomics.IdentiPy: an extensible search engine for protein identification in shotgun proteomics.DirectMS1: MS/MS-Free Identification of 1000 Proteins of Cellular Proteomes in 5 MinutesPyteomics 4.0: Five Years of Development of a Python Proteomics Framework
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P50
description
hulumtues
@sq
researcher
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wetenschapper
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հետազոտող
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name
Lev I Levitsky
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Lev I Levitsky
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Lev I Levitsky
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Lev I Levitsky
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Lev Levitsky
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Lew Igorewitsch Lewizki
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Лев Игоревич Левицкий
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Lev I Levitsky
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Lev I Levitsky
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Lev I Levitsky
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Lev I Levitsky
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Lev Levitsky
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Lew Igorewitsch Lewizki
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Лев Игоревич Левицкий
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Lev I Levitsky
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Lev Igorevich Levitsky
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Lew Lewizki
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Lev I Levitsky
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Lev I Levitsky
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Lev I Levitsky
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Lev I Levitsky
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Lev Levitsky
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Lew Igorewitsch Lewizki
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Лев Игоревич Левицкий
@ru
P1053
G-9702-2017
P106
P21
P31
P3829
P496
0000-0002-4048-0876