지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Next generation sequencing (NGS) technologies have revolutionized many areas of biological research due to the sharp reduction in costs that has led to the generation of massive amounts of sequence information. Analysis of large genome data sets is however still a challenging task because it often requires significant computer resources and knowledge of bioinformatics. Here, we provide a guide for an uninitiated who wish to analyze high-throughput NGS data. We focus specifically on the analysis of organelle genome and metagenome data and describe the current bioinformatic pipelines suited for this purpose.
목차
등록된 정보가 없습니다.
참고문헌 (111)
참고문헌 신청
Altschul, S. F. / 1990 / Basic local alignment search tool / J. Mol. Biol. 215:403~410
Altschul, S. F. / 1997 / Gapped BLAST and PSI-BLAST: a new generation of protein database search programs / Nucleic Acids Res 25:3389~3402
Bankevich, A. / 2012 / SPAdes : a new genome assembly algorithm and its applications to single-cell sequencing / J. Comput. Biol. 19:455~477
Beck, N. / MFannot, organelle genome annotation websever
Bernt, M. / 2013 / MITOS: Improved de novo metazoan mitochondrial genome annotation / Mol. Phylogenet. Evol 69:313~319
Altschul, S. F. / 1997 / Gapped BLAST and PSI-BLAST: a new generation of protein database search programs / Nucleic Acids Res 25:3389~3402
Bankevich, A. / 2012 / SPAdes : a new genome assembly algorithm and its applications to single-cell sequencing / J. Comput. Biol. 19:455~477
Beck, N. / MFannot, organelle genome annotation websever
Bernt, M. / 2013 / MITOS: Improved de novo metazoan mitochondrial genome annotation / Mol. Phylogenet. Evol 69:313~319
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Evaluation of an Effective Detection and Quantification Method for Particular Microorganisms by Comparing NGS-based Metagenome Profiling Data
한국미생물학회 학술대회논문집
2021 .08
-
Next Generation Sequencing and Bioinformatics
생명과학회지
2015 .03
-
Korean Metagenome Bank for Exploiting Microbial Diversity
한국미생물학회 학술대회논문집
2016 .04
-
Metagenome Analysis of Perilla Leaf
한국미생물학회 학술대회논문집
2017 .04
-
Comparative Genomic Analysis of Fusobacterium Species Using Multiple Metagenome-assembled Genomes
한국미생물학회 학술대회논문집
2021 .08
-
Korean Metagenome Bank for Exploiting Microbial Diversity
한국미생물학회 학술대회논문집
2015 .04
-
ChIP-seq 라이브러리 제작 및 Galaxy 플랫폼을 이용한 NGS 데이터 분석
생명과학회지
2021 .04
-
Measuring Patterns by Geographical Locations in Marine Metagenome Data Using Newly Adopted Genotyping by Sequencing
한국미생물학회 학술대회논문집
2016 .04
-
Measuring Patterns by Geographical Locations in Marine Metagenome Data Using Newly Adopted Genotyping by Sequencing
한국미생물학회 학술대회논문집
2015 .04
-
From Metagenomes to Therapeutics: the Human Skin Microbiome
한국미생물학회 학술대회논문집
2022 .10
-
A Metagenome Data-enabled Machine Learning Modeling Approach Provides Diagnostic Understanding of Groundwater Pollution
한국미생물학회 학술대회논문집
2022 .10
-
Next-generation sequencing data analysis on cloud computing
Genes & Genomics
2015 .01
-
차세대유전체해독 기법을 이용한 소 유전체 해독 연구현황
생명과학회지
2015 .03
-
The Time-series Metagenome Reveals Dynamic Shifts of Microbial Community from the East Sea, Korea
한국미생물학회 학술대회논문집
2019 .04
-
In Silico Metagenomes Mining to Discover Novel Esterases with Industrial Application by Sequential Search Strategies
Journal of Microbiology and Biotechnology
2015 .01
-
NGS_SNPAnalyzer: a desktop software supporting genome projects by identifying and visualizing sequence variations from next-generation sequencing data
Genes & Genomics
2020 .01
-
New Business Model (ver.4.0) of Food Industry Using Next Generation Sequencing (NGS) Technology
한국미생물학회 학술대회논문집
2018 .04
-
Distribution of Antibiotic Resistance Genes within Viral Metagenomes of Urban Wastewater Treatment Plants
한국미생물학회 학술대회논문집
2019 .04
-
Research on the Genomic Functionality Using Industrial Animal-derived Microbial Genome Analysis and Bioinformatics
한국미생물학회 학술대회논문집
2022 .10
-
Visualization of Multicolored in vivo Organelle Markers for Co-Localization Studies in Oryza sativa
Molecules and Cells
2017 .11
이 논문의 저자 정보
최근 본 자료
댓글(0)
0