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김재범 연구실
건국대학교 의생명공학과 김재범 교수
NGS 데이터 분석
유전체 조립
Reference-guided assembly
기본 정보
연구 분야
논문
구성원

김재범 연구실

건국대학교 의생명공학과 김재범 교수

김재범 연구실은 의생명공학과 연계하여 NGS 기반 유전체·에피게놈·전사체 데이터를 분석하는 원천 소프트웨어를 개발하고 있습니다. WGBS 데이터의 전처리부터 메틸화 호출, 프로파일링, 차등 분석 및 시각화를 end-to-end로 제공하는 파이프라인을 구축합니다. 또한 크로모좀 수준 genome assembly를 reference-guided 전략과 읽기 클러스터링으로 고도화하고, reference 선택이 조립 품질에 미치는 영향을 특징 기반으로 평가합니다. 나아가 집단유전 분석 자동화, pseudo-long read 생성 메타지노믹 조립, lncRNA 발현 비교 분석을 수행합니다.

NGS 데이터 분석유전체 조립Reference-guided assemblyWGBS 메틸화 분석메타지노믹 조립
대표 연구 분야
연구 영역 전체보기
WGBS 기반 DNA 메틸화 및 에피게놈 차등 규제 분석 파이프라인 연구 thumbnail
WGBS 기반 DNA 메틸화 및 에피게놈 차등 규제 분석 파이프라인 연구
DNA methylation and epigenome differential regulation analysis pipeline based on WGBS
연구 분야 상세보기
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수

21총합

5개년 연도별 피인용 수

217총합
주요 논문
5
논문 전체보기
1
article
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인용수 2
·
2024
PAPipe: A Pipeline for Comprehensive Population Genetic Analysis
Nayoung Park, Hyeonji Kim, Jeongmin Oh, Jinseok Kim, Charyeong Heo, Jaebum Kim
IF 5.3 (2024)
Molecular Biology and Evolution
Abstract Advancements in next-generation sequencing (NGS) technologies have led to a substantial increase in the availability of population genetic variant data, thus prompting the development of various population analysis tools to enhance our understanding of population structure and evolution. The tools that are currently used to analyze population genetic variant data generally require different environments, parameters, and formats of the input data, which can act as a barrier preventing the wide-spread usage of such tools by general researchers who may not be familiar with bioinformatics. To address this problem, we have developed an automated and comprehensive pipeline called PAPipe to perform nine widely used population genetic analyses using population NGS data. PAPipe seamlessly interconnects and serializes multiple steps, such as read trimming and mapping, genetic variant calling, data filtering, and format converting, along with nine population genetic analyses such as principal component analysis, phylogenetic analysis, population tree analysis, population structure analysis, linkage disequilibrium decay analysis, selective sweep analysis, population admixture analysis, sequentially Markovian coalescent analysis, and fixation index analysis. PAPipe also provides an easy-to-use web interface that allows for the parameters to be set and the analysis results to be browsed in intuitive manner. PAPipe can be used to generate extensive results that provide insights that can help enhance user convenience and data usability. PAPipe is freely available at https://github.com/jkimlab/PAPipe.
https://doi.org/10.1093/molbev/msae040
Biology
Pipeline (software)
Evolutionary biology
Population
Computational biology
Genetics
Demography
Engineering
2
article
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인용수 6
·
2024
A chromosome-level genome assembly of the Korean minipig (Sus scrofa)
Suyeon Wy, Daehong Kwon, Woncheoul Park, Han‐Ha Chai, In‐Cheol Cho, Jaebum Kim
IF 6.9 (2024)
Scientific Data
Recent advancements in sequencing and genome assembly technologies have led to rapid generation of high-quality genome assemblies for various species and breeds. Despite the importance as minipigs an animal model in biomedical research, the construction of high-quality genome assemblies of minipigs still lags behind other pig breeds. To address this problem, we constructed a high-quality chromosome-level genome assembly of the Korean minipig (KMP) utilizing multiple different types of sequencing reads and reference genomes. The KMP assembly included 19 chromosome-level sequences with a total length of 2.52 Gb and N50 of 137 Mb. Comparative analyses with the pig reference genome (Sscrofa11.1) demonstrated comparable contiguity and completeness of the KMP assembly. Additionally, genome annotation analyses identified 22,666 protein-coding genes and repetitive elements occupying 40.10% of the genome. The KMP assembly and genome annotation provide valuable resources that can contribute to various future research on minipig and other pig breeds.
https://doi.org/10.1038/s41597-024-03680-8
Genome
Biology
Sequence assembly
Reference genome
Genetics
Genome project
Chromosome
DNA sequencing
Computational biology
Gene
3
article
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인용수 8
·
2023
A chromosome-level genome assembly of the Korean crossbred pig Nanchukmacdon (Sus scrofa)
Daehong Kwon, Nayoung Park, Suyeon Wy, Daehwan Lee, Han‐Ha Chai, In‐Cheol Cho, Jongin Lee, Kisang Kwon, Heesun Kim, Youngbeen Moon, Juyeon Kim, Woncheoul Park, Jaebum Kim
IF 5.8 (2023)
Scientific Data
As plentiful high-quality genome assemblies have been accumulated, reference-guided genome assembly can be a good approach to reconstruct a high-quality assembly. Here, we present a chromosome-level genome assembly of the Korean crossbred pig called Nanchukmacdon (the NCMD assembly) using the reference-guided assembly approach with short and long reads. The NCMD assembly contains 20 chromosome-level scaffolds with a total size of 2.38 Gbp (N50: 138.77 Mbp). Its BUSCO score is 93.1%, which is comparable to the pig reference assembly, and a total of 20,588 protein-coding genes, 8,651 non-coding genes, and 996.14 Mbp of repetitive elements are annotated. The NCMD assembly was also used to close many gaps in the pig reference assembly. This NCMD assembly and annotation provide foundational resources for the genomic analyses of pig and related species.
http://dx.doi.org/10.1038/s41597-023-02661-7
Biology
Crossbreed
Genetics
Genome
Chromosome
Gene

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