VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences

• Published in: Bioinformatics Vol. 36; no. 4; pp. 1277 - 1278
• Main Authors: Wang, Jun, Du, Pu-Feng, Xue, Xin-Yu, Li, Guang-Ping, Zhou, Yuan-Ke, Zhao, Wei, Lin, Hao, Chen, Wei
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 15.02.2020
• ISSN: 1367-4803; 1460-2059; 1367-4811
• DOI: 10.1093/bioinformatics/btz689

Abstract Summary Many efforts have been made in developing bioinformatics algorithms to predict functional attributes of genes and proteins from their primary sequences. One challenge in this process is to intuitively analyze and to understand the statistical features that have been selected by heuristic or iterative methods. In this paper, we developed VisFeature, which aims to be a helpful software tool that allows the users to intuitively visualize and analyze statistical features of all types of biological sequence, including DNA, RNA and proteins. VisFeature also integrates sequence data retrieval, multiple sequence alignments and statistical feature generation functions. Availability and implementation VisFeature is a desktop application that is implemented using JavaScript/Electron and R. The source codes of VisFeature are freely accessible from the GitHub repository (https://github.com/wangjun1996/VisFeature). The binary release, which includes an example dataset, can be freely downloaded from the same GitHub repository (https://github.com/wangjun1996/VisFeature/releases). Supplementary information Supplementary data are available at Bioinformatics online.