SWAV: a web-based visualization browser for sliding window analysis

• Published in: Scientific reports Vol. 10; no. 1; p. 149
• Main Authors: Zhu, Zhenglin, Wang, Yawang, Zhou, Xichuan, Yang, Liuqing, Meng, Geng, Zhang, Ze
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10-01-2020; Nature Publishing Group
• Subjects: 45/43; 631/114/2402; 631/114/794; Annotations; Browsing; Customization; DNA sequencing; Evolutionary biology; Genetic screening; Genomes; Humanities and Social Sciences; JavaScript; multidisciplinary; Nucleotide sequence; Organisms; Population; Population genetics; Science; Science (multidisciplinary); Statistical analysis; Statistics; Visualization; Yeasts
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-019-57038-x

Sliding window analysis has been extensively applied in evolutionary biology. With the development of the high-throughput DNA sequencing of organisms at the population level, an application that is dedicated to visualizing population genetic test statistics at the genomic level is needed. We have developed the sliding window analysis viewer (SWAV), which is a web-based program that can be used to integrate, view and browse test statistics and perform genome annotation. In addition to browsing, SAV can mark, generate and customize statistical images and search by sequence alignment, position or gene name. These features facilitate the effectiveness of sliding window analysis. As an example application, yeast and silkworm resequencing data are analyzed with SWAV. The SWAV package, user manual and usage demo are available at
http://swav.popgenetics.net
.