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Pythoscape:用于生成大规模蛋白质相似性网络的框架。

Pythoscape: a framework for generation of large protein similarity networks.

机构信息

Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA.

出版信息

Bioinformatics. 2012 Nov 1;28(21):2845-6. doi: 10.1093/bioinformatics/bts532. Epub 2012 Sep 8.

Abstract

Pythoscape is a framework implemented in Python for processing large protein similarity networks for visualization in other software packages. Protein similarity networks are graphical representations of sequence, structural and other similarities among proteins for which pairwise all-by-all similarity connections have been calculated. Mapping of biological and other information to network nodes or edges enables hypothesis creation about sequence-structure-function relationships across sets of related proteins. Pythoscape provides several options to calculate pairwise similarities for input sequences or structures, applies filters to network edges and defines sets of similar nodes and their associated data as single nodes (termed representative nodes) for compression of network information and output data or formatted files for visualization.

摘要

Pythoscape 是一个用 Python 实现的框架,用于处理大型蛋白质相似性网络,以便在其他软件包中进行可视化。蛋白质相似性网络是蛋白质之间序列、结构和其他相似性的图形表示,这些相似性已经计算出了两两之间的相似性连接。将生物学和其他信息映射到网络节点或边缘上,可以创建关于一组相关蛋白质中序列-结构-功能关系的假设。Pythoscape 提供了几种计算输入序列或结构之间的两两相似度的选项,对网络边缘应用过滤器,并定义相似节点及其相关数据的集合作为单个节点(称为代表节点),以压缩网络信息和输出数据或格式化文件,以便可视化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd21/3476340/b4eec9c5710f/bts532f1p.jpg

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