计算机科学
个性化
杠杆(统计)
可视化
跨平台
软件工程
Java
图形用户界面
接口(物质)
应用程序编程接口
数据可视化
软件
操作系统
万维网
数据挖掘
气泡
最大气泡压力法
机器学习
作者
Matthew D. Kearse,Richard Moir,Amy Wilson,Steven Stones-Havas,Matthew Cheung,Shane Sturrock,Simon Buxton,Alex Cooper,Sidney Markowitz,Chris Duran,Tobias Thierer,Bruce Ashton,Peter Meintjes,Alexei J. Drummond
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2012-04-27
卷期号:28 (12): 1647-1649
被引量:18064
标识
DOI:10.1093/bioinformatics/bts199
摘要
Abstract Summary: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software application framework for the organization and analysis of biological data, with a focus on molecular sequences and related data types. It integrates numerous industry-standard discovery analysis tools, with interactive visualizations to generate publication-ready images. One key contribution to researchers in the life sciences is the Geneious public application programming interface (API) that affords the ability to leverage the existing framework of the Geneious Basic software platform for virtually unlimited extension and customization. The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API. Geneious Basic represents an ideal platform for the bioinformatics community to leverage existing components and to integrate their own specific requirements for the discovery, analysis and visualization of biological data. Availability and implementation: Binaries and public API freely available for download at http://www.geneious.com/basic, implemented in Java and supported on Linux, Apple OSX and MS Windows. The software is also available from the Bio-Linux package repository at http://nebc.nerc.ac.uk/news/geneiousonbl. Contact: peter@biomatters.com
科研通智能强力驱动
Strongly Powered by AbleSci AI