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.

Download references

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

   You can also search for this author in PubMed Google Scholar

2. Bing ZhangView author publications

   You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bing Zhang.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The online version of the original article can be found at https://doi.org/10.1186/s12014-020-09290-x

Open Access 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. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

Cite this article

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

Download citation

• Published: 07 March 2024

• DOI: https://doi.org/10.1186/s12014-024-09473-w

Share this article

Anyone you share the following link with will be able to read this content:

Get shareable link

Sorry, a shareable link is not currently available for this article.

Copy to clipboard

Provided by the Springer Nature SharedIt content-sharing initiative

中文翻译：

---

更正：使用磷酸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

更正至：临床蛋白质组学 (2023) 17:27

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

在正文中，标题为“激酶和磷酸酶的知识库”的第 6 段中，第 3 句“DEPOD 使用来自 HuPho 的数据作为起点，因此包含许多相同的信息 [19]”，应读作“除了相互作用的伙伴和上游激酶之外，DEPOD 还包括途径、底物和直向同源物的链接 [19]”。原文章已更正。

• Savage, SR、Zhang, B。利用磷酸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。临床蛋白质组。2020；17:27。https://doi.org/10.1186/s12014-020-09290-x。

下载参考资料

作者和单位

1. 生物医学信息学系，范德比尔特大学，纳什维尔，田纳西州，美国

   萨拉·R·萨维奇

2. 莱斯特和苏·史密斯乳腺中心，贝勒医学院，休斯敦，德克萨斯州，美国

   莎拉·萨维奇 (Sara R. Savage) 和张冰

3. 分子和人类遗传学系，贝勒医学院，休斯敦，德克萨斯州，美国

   张兵

作者

1. Sara R. Savage查看作者出版物

   您也可以在PubMed Google Scholar中搜索该作者 

2. 张冰查看作者出版物

   您也可以在PubMed Google Scholar中搜索该作者 

通讯作者

通讯作者：张兵。

出版商备注

施普林格·自然对于已出版的地图和机构隶属关系中的管辖权主张保持中立。

原始文章的在线版本可以在 https://doi.org/10.1186/s12014-020-09290-x 找到

开放获取本文根据知识共享署名 4.0 国际许可证获得许可，该许可证允许以任何媒介或格式使用、共享、改编、分发和复制，只要您对原作者和来源给予适当的认可，提供知识共享许可的链接，并指出是否进行了更改。本文中的图像或其他第三方材料包含在文章的知识共享许可中，除非材料的出处中另有说明。如果文章的知识共享许可中未包含材料，并且您的预期用途不受法律法规允许或超出了允许的用途，则您需要直接获得版权所有者的许可。要查看此许可证的副本，请访问 http://creativecommons.org/licenses/by/4.0/。知识共享公共领域奉献豁免 (http://creativecommons.org/publicdomain/zero/1.0/) 适用于本文中提供的数据，除非数据的信用额度中另有说明。

转载和许可

引用这篇文章

Savage, S.，Zhang, B. 更正：使用磷酸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。临床蛋白质组 21 , 20 (2024)。https://doi.org/10.1186/s12014-024-09473-w

下载引文

• 发表：2024 年 3 月 7 日

• DOI ：https://doi.org/10.1186/s12014-024-09473-w

分享此文章

您与之分享以下链接的任何人都可以阅读此内容：

获取共享链接

抱歉，本文目前没有可共享的链接。

复制到剪贴板

由 Springer Nature SharedIt 内容共享计划提供