Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany.
Department of Clinical Proteomics, NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Bioinformatics. 2022 Jan 12;38(3):849-852. doi: 10.1093/bioinformatics/btab674.
Integrating experimental information across proteomic datasets with the wealth of publicly available sequence annotations is a crucial part in many proteomic studies that currently lacks an automated analysis platform. Here, we present AlphaMap, a Python package that facilitates the visual exploration of peptide-level proteomics data. Identified peptides and post-translational modifications in proteomic datasets are mapped to their corresponding protein sequence and visualized together with prior knowledge from UniProt and with expected proteolytic cleavage sites. The functionality of AlphaMap can be accessed via an intuitive graphical user interface or-more flexibly-as a Python package that allows its integration into common analysis workflows for data visualization. AlphaMap produces publication-quality illustrations and can easily be customized to address a given research question.
AlphaMap is implemented in Python and released under an Apache license. The source code and one-click installers are freely available at https://github.com/MannLabs/alphamap.
Supplementary data are available at Bioinformatics online.
将蛋白质组学数据集中的实验信息与丰富的公共可用序列注释整合起来,是目前许多蛋白质组学研究中至关重要的一部分,但这些研究缺乏自动化分析平台。在这里,我们介绍了 AlphaMap,这是一个 Python 包,可用于直观地探索肽水平的蛋白质组学数据。蛋白质组学数据集中鉴定的肽和翻译后修饰被映射到其对应的蛋白质序列,并与 UniProt 中的先验知识以及预期的蛋白水解切割位点一起可视化。可以通过直观的图形用户界面访问 AlphaMap 的功能,或者更灵活地将其作为 Python 包来集成到常见的数据分析工作流程中,以实现数据可视化。AlphaMap 生成出版质量的插图,并且可以轻松定制以解决特定的研究问题。
AlphaMap 是用 Python 实现的,并在 Apache 许可证下发布。源代码和一键安装程序可在 https://github.com/MannLabs/alphamap 上免费获得。
补充数据可在《生物信息学》在线获得。