{"title":"Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome","authors":"","doi":"10.1002/pmic.70049","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p><b>The following article for this Special Issue was published in an earlier Issue</b>.</p>\n <p>A. T. Rajczewski, J. Alfredo Blakeley-Ruiz, A. Meyer et al. “Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome.” <i>Proteomics</i>, 25, e70049, https://doi.org/10.1002/pmic.202400187. https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400187</p>\n </div>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":"25 17-18","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proteomics","FirstCategoryId":"99","ListUrlMain":"https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/pmic.70049","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The following article for this Special Issue was published in an earlier Issue.
A. T. Rajczewski, J. Alfredo Blakeley-Ruiz, A. Meyer et al. “Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome.” Proteomics, 25, e70049, https://doi.org/10.1002/pmic.202400187. https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400187
本特刊的以下文章发表在以前的一期上。a . T. Rajczewski, J. Alfredo blakley - ruiz, a . Meyer等人,“作为宏蛋白质组学工具的数据独立采集质谱:使用模型微生物组的实验室间比较。”蛋白质组学,25,e70049, https://doi.org/10.1002/pmic.202400187。https://onlinelibrary.wiley.com/doi/10.1002/pmic.202400187
期刊介绍:
PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.