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Analytical Tools and Databases for Metagenomics in the Next-Generation Sequencing Era
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  • Analytical Tools and Databases for Metagenomics in the Next-Generation Sequencing Era
  • Analytical Tools and Databases for Metagenomics in the Next-Generation Sequencing Era
저자명
Kim. Mincheol,Lee. Ki-Hyun,Yoon. Seok-Whan,Kim. Bong-Soo,Chun. Jongsik,Yi. Hana
간행물명
Genomics & informatics
권/호정보
2013년|11권 3호|pp.102-113 (12 pages)
발행정보
한국유전체학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.