i-Vis Research Lab, Computer Engineering Department, Bilkent University, Ankara 06800, Turkey.
Molecular & Medical Genetics Department, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
Bioinformatics. 2021 Jun 16;37(10):1475-1477. doi: 10.1093/bioinformatics/btaa850.
Visualization of cellular processes and pathways is a key recurring requirement for effective biological data analysis. There is a considerable need for sophisticated web-based pathway viewers and editors operating with widely accepted standard formats, using the latest visualization techniques and libraries.
We developed a web-based tool named Newt for viewing, constructing and analyzing biological maps in standard formats such as SBGN, SBML and SIF.
Newt's source code is publicly available on GitHub and freely distributed under the GNU LGPL. Ample documentation on Newt can be found on http://newteditor.org and on YouTube.
细胞过程和途径的可视化是有效生物数据分析的关键重复要求。需要使用最新的可视化技术和库，以广泛接受的标准格式操作复杂的基于网络的途径查看器和编辑器。
我们开发了一种名为 Newt 的基于网络的工具，用于查看、构建和分析标准格式（如 SBGN、SBML 和 SIF）的生物图谱。
Newt 的源代码在 GitHub 上公开可用，并根据 GNU LGPL 自由分发。在 http://newteditor.org 和 YouTube 上可以找到有关 Newt 的大量文档。
