메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Kim, Mincheol (School of Biological Sciences & Institute of Bioinformatics [BIOMAX], Seoul National University) Lee, Ki-Hyun (School of Biological Sciences & Institute of Bioinformatics [BIOMAX], Seoul National University) Yoon, Seok-Whan (School of Biological Sciences & Institute of Bioinformatics [BIOMAX], Seoul National University) Kim, Bong-Soo (Chunlab Inc., Seoul National University) Chun, Jongsik (School of Biological Sciences & Institute of Bioinformatics [BIOMAX], Seoul National University) Yi, Hana (Department of Environmental Health, Korea University)
저널정보
한국유전체학회 Genomics & informatics Genomics & informatics 제11권 제3호
발행연도
2013.1
수록면
102 - 113 (12page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Metagenomics has become one of the indispensable tools in microbial ecology for the last few decades, and a new revolution in metagenomic studies is now about to begin, with the help of recent advances of sequencing techniques. The massive data production and substantial cost reduction in next-generation sequencing have led to the rapid growth of metagenomic research both quantitatively and qualitatively. It is evident that metagenomics will be a standard tool for studying the diversity and function of microbes in the near future, as fingerprinting methods did previously. As the speed of data accumulation is accelerating, bioinformatic tools and associated databases for handling those datasets have become more urgent and necessary. To facilitate the bioinformatics analysis of metagenomic data, we review some recent tools and databases that are used widely in this field and give insights into the current challenges and future of metagenomics from a bioinformatics perspective.

목차

등록된 정보가 없습니다.

참고문헌 (109)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0