SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data

Autor:	Wenyan Gu, Shiwei Sun, Lusheng Wang, Aizhong Zhou, Daming Zhu, Xuefeng Cui
Rok vydání:	2020
Předmět:	0303 health sciences 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis Sequencing data Structural variant Computational biology Third generation sequencing Biology Genome structure Human phenotype Genome 030304 developmental biology
Zdroj:	Bioinformatics Research and Applications ISBN: 9783030578206 ISBRA
DOI:	10.1007/978-3-030-57821-3_13
Popis:	Genome structural variants have great impacts on human phenotype and diversity, and have been linked to numerous diseases. Long read sequencing technologies arise to make it possible to find structural variants of as long as ten thousand nucleotides. Thus, long read based structural variant detection has been drawing attention of many recent research projects, and many tools have been developed for long reads to detect structural variants recently.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::71046800a00c8d0f1cf1b899e5171c5d https://doi.org/10.1007/978-3-030-57821-3_13 Zobrazit plný text záznamu