Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

misMM: An Integrated Pipeline for Misassembly Detection Using Genotyping-by-Sequencing and Its Validation with BAC End Library Sequences and Gene Synteny

Authors
고영준김정선김상수
Issue Date
Dec-2017
Publisher
한국유전체학회
Keywords
BAC end library; gene synteny; genotyping-by-sequencing; miassembly; next-generation sequencing; reference genome
Citation
Genomics & Informatics, v.15, no.4, pp.128 - 135
Journal Title
Genomics & Informatics
Volume
15
Number
4
Start Page
128
End Page
135
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/7002
ISSN
1598-866X
Abstract
As next-generation sequencing technologies have advanced, enormous amounts of whole-genome sequence information in various species have been released. However, it is still difficult to assemble the whole genome precisely, due to inherent limitations of short-read sequencing technologies. In particular, the complexities of plants are incomparable to those of microorganisms or animals because of whole-genome duplications, repeat insertions, and Numt insertions, etc. In this study, we describe a new method for detecting misassembly sequence regions of Brassica rapa with genotyping-by-sequencing, followed by MadMapper clustering. The misassembly candidate regions were cross-checked with BAC clone paired-ends library sequences that have been mapped to the reference genome. The results were further verified with gene synteny relations between Brassica rapa and Arabidopsis thaliana. We conclude that this method will help detect misassembly regions and be applicable to incompletely assembled reference genomes from a variety of species.
Files in This Item
Go to Link
Appears in
Collections
College of Natural Sciences > School of Systems and Biomedical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sangsoo photo

Kim, Sangsoo
College of Natural Sciences (Department of Bioinformatics & Life Science)
Read more

Altmetrics

Total Views & Downloads

BROWSE