Philipp Oliver, Osiewacz Heinz D, Koch Ina
Molecular Bioinformatics, Institute of Computer Science, Faculty of Computer Science and Mathematics & Cluster of Excellence 'Macromolecular Complexes', Goethe-University, Frankfurt am Main, Germany and Molecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Goethe-University, Frankfurt am Main, Germany.
Molecular Developmental Biology, Institute of Molecular Biosciences, Faculty for Biosciences & Cluster of Excellence 'Macromolecular Complexes', Goethe-University, Frankfurt am Main, Germany.
Bioinformatics. 2016 May 1;32(9):1427-9. doi: 10.1093/bioinformatics/btv765. Epub 2016 Jan 5.
: We introduce Path2PPI, a new R package to identify protein-protein interaction (PPI) networks for fully sequenced organisms for which nearly none PPI are known. Path2PPI predicts PPI networks based on sets of proteins from well-established model organisms, providing an intuitive visualization and usability. It can be used to combine and transfer information of a certain pathway or biological process from several reference organisms to one target organism.
Path2PPI is an open-source tool implemented in R. It can be obtained from the Bioconductor project: http://bioconductor.org/packages/Path2PPI/ CONTACT: : ina.koch@bioinformatik.uni-frankfurt.de
Supplementary data are available at Bioinformatics online.
我们引入了Path2PPI，这是一个新的R包，用于为几乎没有已知蛋白质-蛋白质相互作用（PPI）的全测序生物体识别PPI网络。Path2PPI基于来自成熟模式生物体的蛋白质集预测PPI网络，提供直观的可视化和易用性。它可用于将特定途径或生物过程的信息从多个参考生物体组合并转移到一个目标生物体。
Path2PPI是一个用R实现的开源工具。可从Bioconductor项目获取：http://bioconductor.org/packages/Path2PPI/ 联系方式：ina.koch@bioinformatik.uni-frankfurt.de
补充数据可在《生物信息学》在线获取。
