PopGeV: a web-based large-scale population genome browser
Author(s) -
Xinyi Shi,
Jing Peng,
Xiaohan Yu,
Xiaohong Zhang,
Dongye Li,
Baohui Liu,
Fanjiang Kong,
Xiaohui Yuan
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv324
Subject(s) - population , computer science , genome browser , indel , annotation , population genomics , genome , web page , genomics , gene annotation , data mining , world wide web , biology , genetics , gene , single nucleotide polymorphism , artificial intelligence , demography , sociology , genotype
The development of high-throughput sequencing technology has made it possible for more and more researchers to use population sequencing data to mine genes associated with specific traits. However, the massive amounts of sequencing data have also brought new challenges to the researchers. The question of how to browse population genomic data in an easy and intuitive manner must be addressed. Web-based genome browsers allow user to conveniently view the results of genomic analyses, but heavy usage can reduce the response speed of the webpage, which limits its usefulness in the display of large-scale genome data. IndexedDB technology is a good solution to this problem; it supports web browsers and so creates local databases. In this way, data can be read from the local storage, achieving a smooth display of population genomic data.
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