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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.3
- 수록면
- 34 - 38 (5page)
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With the rapid growth of genomic data, new requirements have emerged that are difficult to handle with big data storage and analysis techniques. Regardless of the size of an organization performing genomic data analysis, it is becoming increasingly difficult for an institution to build a computing environment for storing and analyzing genomic data. Recently, cloud computing has emerged as a computing environment that meets these new requirements. In this paper, we analyze and compare existing distributed and parallel NGS (Next Generation Sequencing) analysis based on cloud computing environment for future research.
목차
ABSTRACT
1. INTRODUCTION
2. NEXT GENERATION SEQUENCING (NGS)
3. DISTRIBUTED AND PARALLEL NGS ANALYSIS METHODS
4. COMPARISON
5. CONCLUSION
REFERENCES
참고문헌 (29)
참고문헌 신청
[학술지(정기간행물)] - M. Choi / 2014 / Development Trends of Medical Genomics Using Next Generation Sequencing Techniques / Molecular Cell Biology Newsletter
[인터넷자원] - / / https://www.genome.gov/sequencingcostsdata/
[학술지(정기간행물)] - M. C. Schatz / 2010 / Cloud Computing and the DNA Data Race / Nature Biotechnology 28 (7) : 691 ~ 693
[학술지(정기간행물)] - M. Baker / 2010 / Next-generation Sequencing: Adjusting to Data Overload / Nature Methods 7 (7) : 495 ~ 499
[학술지(정기간행물)] - B. Calabrese / 2016 / Bioinformatics and Microarray Data Analysis on the Cloud / Methods in Molecular Biology 1375 : 25 ~ 39
[인터넷자원] - / / https://www.genome.gov/sequencingcostsdata/
[학술지(정기간행물)] - M. C. Schatz / 2010 / Cloud Computing and the DNA Data Race / Nature Biotechnology 28 (7) : 691 ~ 693
[학술지(정기간행물)] - M. Baker / 2010 / Next-generation Sequencing: Adjusting to Data Overload / Nature Methods 7 (7) : 495 ~ 499
[학술지(정기간행물)] - B. Calabrese / 2016 / Bioinformatics and Microarray Data Analysis on the Cloud / Methods in Molecular Biology 1375 : 25 ~ 39
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