CAJ | 학술논문

随着二代测序、质谱分析、医学影像等生物医学技术的发展和应用，生物医学数据呈现爆炸性增长趋势，其处理面临数据量大、计算强度大、维度高等问题。云计算在资源分配、数据存储、计算、共享等方面具有优势，能够帮助解决生物医学大数据处理的相关问题。深入分析了云计算在生物医学大数据处理方面的特点，归纳总结了常见的生物云计算解决方案，对生物云计算的发展和挑战进行了展望。有望建立能够整合多源生物医学数据的新型计算方法，以解决复杂的生物医学问题。
수착이대측서、질보분석、의학영상등생물의학기술적발전화응용，생물의학수거정현폭작성증장추세，기처리면림수거량대、계산강도대、유도고등문제。운계산재자원분배、수거존저、계산、공향등방면구유우세，능구방조해결생물의학대수거처리적상관문제。심입분석료운계산재생물의학대수거처리방면적특점，귀납총결료상견적생물운계산해결방안，대생물운계산적발전화도전진행료전망。유망건립능구정합다원생물의학수거적신형계산방법，이해결복잡적생물의학문제。
With the development and application of biomedical techniques such as second generation sequencing, mass spectrometry and medical imaging, the biomedical data have been growing explosively.However, the biomedical data processing is faced with many problems such as big data volume, highly intensive computation and high dimension.Cur-rent big data problems about biomedical research can be solved by cloud computing, which represents advantages on re-source allocation, data storage, computation and sharing.This paper first comprehensively analyzed features of the cloud computing for processing biomedical data.Then several commonly used solutions of biomedical cloud computing were summarized.The development and challenges of the biomedical cloud computing were further discussed.It is hopeful to create novel computing methods by combining multi-source biomedical data for solving complex biomedical problems.