Bioinformatics approaches for improving seminal plasma proteome analysis

被引：1
|
作者：
Noor, Zainab [1 ]
Ranganathan, Shoba [1 ]
机构：
[1] Macquarie Univ, Dept Mol Sci, Sydney, NSW, Australia
来源：
THERIOGENOLOGY | 2019年 / 137卷
关键词：
Mass spectrometry; Data analysis; Seminal plasma; Data-independent acquisition; Bioinformatics; DATA-INDEPENDENT ACQUISITION; LABEL-FREE PROTEOME; MASS-SPECTROMETRY; PROCESSING STRATEGIES; TARGETED ANALYSIS; RETENTION TIME; IDENTIFICATION; PROTEINS; GENERATION; PREDICTION;
D O I：
10.1016/j.theriogenology.2019.05.036
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Reproduction efficiency of male animals is one of the key factors influencing the sustainability of livestock. Mass spectrometry (MS) based proteomics has become an important tool for studying seminal plasma proteomes. In this review, we summarize bioinformatics analysis strategies for current proteomics approaches, for identifying novel biomarkers of reproductive robustness. (C) 2019 Elsevier Inc. All rights reserved,
引用
收藏
页码：43 / 49
页数：7
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