Beraldi Dario
Cancer Research UK, Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
Bioinformatics. 2017 May 15;33(10):1568-1569. doi: 10.1093/bioinformatics/btx007.
Current genome browsers are designed to work via graphical user interfaces (GUIs), which, however intuitive, are not amenable to operate within console terminals and therefore are difficult to streamline or integrate in scripts. To circumvent these limitations, ASCIIGenome runs exclusively via command line interface to display genomic data directly in a terminal window. By following the same philosophy of UNIX tools, ASCIIGenome aims to be easily integrated with the command line, including batch processing of data, and therefore enables an effective exploration of the data.
ASCIIGenome is written in Java. Consequently, it is a cross-platform tool and requires minimal or no installation. Some of the common genomic data types are supported and data access on remote ftp servers is possible. Speed and memory footprint are comparable to or better than those of common genome browsers.
Software and source code (MIT License) are available at https://github.com/dariober/ASCIIGenome with detailed documentation at http://asciigenome.readthedocs.io .
Supplementary data are available at Bioinformatics online.
当前的基因组浏览器设计为通过图形用户界面(GUI)运行,然而,无论多么直观,GUI都不适合在控制台终端内操作,因此难以在脚本中进行简化或集成。为了规避这些限制,ASCIIGenome仅通过命令行界面运行,以直接在终端窗口中显示基因组数据。遵循与UNIX工具相同的理念,ASCIIGenome旨在易于与命令行集成,包括数据的批处理,从而实现对数据的有效探索。
ASCIIGenome是用Java编写的。因此,它是一个跨平台工具,几乎不需要安装或无需安装。支持一些常见的基因组数据类型,并且可以访问远程ftp服务器上的数据。速度和内存占用与常见的基因组浏览器相当或更好。
软件和源代码(MIT许可)可在https://github.com/dariober/ASCIIGenome上获取,详细文档可在http://asciigenome.readthedocs.io上获取。
补充数据可在《生物信息学》在线获取。