SV4GD: a comprehensive structural variation database specially for genetic diseases

(database[TitleAbstract]) AND (Nucleic acids research[Journal]) 2024-11-14

Summary:

Structural variations (SVs) contribute to a large extent to genomic diversity and are highly relevant for various human genetic diseases. The sensitivity and specificity of SV identification have significantly improved with the development and widespread application of high-throughput sequencing, making clinical diagnosis and treatment more accurate. Therefore, the SV4GD (Structural Variation for Genetic Diseases, https://bio-computing.hrbmu.edu.cn/SV4GD/), a manually curated database, was...

Link:

https://pubmed.ncbi.nlm.nih.gov/39526399/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VsHRGSo3HX0CgC40wRgBdaScQKv8CRE2sO_GaWJzhPEXTSQfX&fc=20220129230418&ff=20241114145142&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » (database[TitleAbstract]) AND (Nucleic acids research[Journal])

Authors:

Lei Shi, Sainan Zhang, Ying Li, Hailong Li, Xin Wang, Meiyu Du, Meiyi Zhang, Liyan Ke, Yueni Zhang, Chao Xu, Senwei Tan, Zitong Zhang, Duoyi Zhang, Jiaping Wang, Changlu Qi, Xingwang Liu, Kai Qian, Liang Cheng, Xue Zhang

Date tagged:

11/14/2024, 14:52

Date published:

11/11/2024, 06:00