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PGG.SV: a whole-genome-sequencing-based structural variant resource and data analysis platform

Authors :
Yimin, Wang
Yunchao, Ling
Jiao, Gong
Xiaohan, Zhao
Hanwen, Zhou
Bo, Xie
Haiyi, Lou
Xinhao, Zhuang
Li, Jin
Shaohua, Fan
Guoqing, Zhang
Shuhua, Xu
Source :
Nucleic acids research.
Publication Year :
2022

Abstract

Structural variations (SVs) play important roles in human evolution and diseases, but there is a lack of data resources concerning representative samples, especially for East Asians. Taking advantage of both next-generation sequencing and third-generation sequencing data at the whole-genome level, we developed the database PGG.SV to provide a practical platform for both regionally and globally representative structural variants. In its current version, PGG.SV archives 584 277 SVs obtained from whole-genome sequencing data of 6048 samples, including 1030 long-read sequencing genomes representing 177 global populations. PGG.SV provides (i) high-quality SVs with fine-scale and precise genomic locations in both GRCh37 and GRCh38, covering underrepresented SVs in existing sequencing and microarray data; (ii) hierarchical estimation of SV prevalence in geographical populations; (iii) informative annotations of SV-related genes, potential functions and clinical effects; (iv) an analysis platform to facilitate SV-based case-control association studies and (v) various visualization tools for understanding the SV structures in the human genome. Taken together, PGG.SV provides a user-friendly online interface, easy-to-use analysis tools and a detailed presentation of results. PGG.SV is freely accessible via https://www.biosino.org/pggsv.

Subjects

Subjects :
Genetics

Details

ISSN :
13624962
Database :
OpenAIRE
Journal :
Nucleic acids research
Accession number :
edsair.doi.dedup.....17b55aa35cb636efe330f9d8caeb1b19