Correction to: Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Sara R. Savage, Bing Zhang
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Clin Proteom. 2020;17:27. https://doi.org/10.1186/s12014-020-09290-x.</p></li></ul><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><h3>Authors and Affiliations</h3><ol><li><p>Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA</p><p>Sara R. Savage</p></li><li><p>Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA</p><p>Sara R. Savage &amp; Bing Zhang</p></li><li><p>Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA</p><p>Bing Zhang</p></li></ol><span>Authors</span><ol><li><span>Sara R. Savage</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Bing Zhang</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Corresponding author</h3><p>Correspondence to Bing Zhang.</p><h3>Publisher’s Note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p>The online version of the original article can be found at https://doi.org/10.1186/s12014-020-09290-x</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. 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Correction to: Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources. <i>Clin Proteom</i> <b>21</b>, 20 (2024). https://doi.org/10.1186/s12014-024-09473-w</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Published<span>: </span><span><time datetime=\"2024-03-07\">07 March 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s12014-024-09473-w</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\"click\" data-track-action=\"select share url\" data-track-label=\"button\"></p><button data-track=\"click\" data-track-action=\"copy share url\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Copy to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p>","PeriodicalId":10468,"journal":{"name":"Clinical proteomics","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical proteomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12014-024-09473-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
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Abstract

Correction to: Clinical Proteomics (2023) 17:27

https://doi.org/10.1186/s12014-020-09290-x

In the main text, under the section heading “Knowledge bases of kinases and phosphatases“, 6th paragraph, the 3rd sentence that reads as “DEPOD used data from HuPho as a starting point and therefore contains much of the same information [19]” should have read as “DEPOD also includes pathways, substrates, and links to orthologs in addition to interacting partners and upstream kinases [19]”. The original article has been corrected.

  • Savage, S.R., Zhang, B. Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources. Clin Proteom. 2020;17:27. https://doi.org/10.1186/s12014-020-09290-x.

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Authors and Affiliations

  1. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA

    Sara R. Savage

  2. Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA

    Sara R. Savage & Bing Zhang

  3. Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA

    Bing Zhang

Authors
  1. Sara R. SavageView author publications

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  2. Bing ZhangView author publications

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Correspondence to Bing Zhang.

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Savage, S., Zhang, B. Correction to: Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources. Clin Proteom 21, 20 (2024). https://doi.org/10.1186/s12014-024-09473-w

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更正:利用磷酸化蛋白质组学数据了解细胞信号传导:生物信息学资源综合指南
更正:Clinical Proteomics (2023) 17:27https://doi.org/10.1186/s12014-020-09290-xIn 正文第6段 "激酶和磷酸酶的知识库 "一节标题下的第3句 "DEPOD以HuPho的数据为起点,因此包含了许多相同的信息[19]"应改为 "DEPOD除了包含相互作用的伙伴和上游激酶[19]外,还包括通路、底物和同源物的链接"。Savage, S.R., Zhang, B. Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources.Clin Proteom.2020;17:27。https://doi.org/10.1186/s12014-020-09290-x.Download 参考文献作者及工作单位美国田纳西州纳什维尔范德比尔特大学生物医学信息学系ASara R. SavageLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USASara R.Savage & Bing ZhangDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USABing ZhangAuthorsSara R. SavageView author publications您也可以在PubMed Google Scholar中搜索该作者Bing ZhangView author publications您也可以在PubMed Google Scholar中搜索该作者Corresponding authorCorrespondence to Bing Zhang.出版者注Springer Nature对出版地图中的管辖权主张和机构隶属关系保持中立。原文的在线版本可在以下网址找到:https://doi.org/10.1186/s12014-020-09290-xOpen Access 本文采用知识共享署名 4.0 国际许可协议进行许可,该协议允许以任何媒介或格式使用、共享、改编、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并说明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中,除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中,且您打算使用的材料不符合法律规定或超出许可使用范围,则您需要直接从版权所有者处获得许可。要查看该许可的副本,请访问 http://creativecommons.org/licenses/by/4.0/。除非在数据的信用行中另有说明,否则创作共用公共领域专用免责声明 (http://creativecommons.org/publicdomain/zero/1.0/) 适用于本文提供的数据。转载与许可引用本文Savage, S., Zhang, B. Correction to:使用磷酸化蛋白质组学数据理解细胞信号传导:生物信息学资源综合指南》。Clin Proteom 21, 20 (2024). https://doi.org/10.1186/s12014-024-09473-wDownload citationPublished: 07 March 2024DOI: https://doi.org/10.1186/s12014-024-09473-wShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative.
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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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