Analysis and comparison of very large metagenomes with fast clustering and functional annotation

被引：0
|
作者：
Weizhong Li
机构：
[1] University of California,California Institute for Telecommunications and Information Technology
来源：
BMC Bioinformatics | / 10卷
关键词：
Metagenomic Data; Pfam Family; Metagenomic Dataset; Global Ocean Sampling; Biome Sample;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Fast and scalable support vector clustering for large-scale data analysis
    Yuan Ping
    Yun Feng Chang
    Yajian Zhou
    Ying Jie Tian
    Yi Xian Yang
    Zhili Zhang
    Knowledge and Information Systems, 2015, 43 : 281 - 310
  • [42] Functional Annotation and Analysis of Genetic Variants
    Nasr, Emad S. Abouel
    Al-Mubaid, H.
    IEEE ACCESS, 2023, 11 : 32659 - 32670
  • [43] Short documents clustering in very large text databases
    Wang, Yongheng
    Jia, Yan
    Yang, Shuqiang
    WEB INFORMATION SYSTEMS - WISE 2006 WORKSHOPS, PROCEEDINGS, 2006, 4256 : 83 - 93
  • [44] Clustering in very large databases based on distance and density
    Qian, WN
    Gong, XQ
    Zhou, AY
    JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2003, 18 (01) : 67 - 76
  • [45] Hybridized Fragmentation of Very Large Databases Using Clustering
    Harikumar, Sandhya
    Ramachandran, Raji
    2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, INFORMATICS, COMMUNICATION AND ENERGY SYSTEMS (SPICES), 2015,
  • [46] A clustering method for very large mixed data sets
    Sánchez-Díaz, G
    Ruiz-Shulcloper, J
    2001 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2001, : 643 - 644
  • [47] Fast Large-Scale Trajectory Clustering
    Wang, Sheng
    Bao, Zhifeng
    Culpepper, J. Shane
    Sellis, Timos
    Qin, Xiaolin
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2019, 13 (01): : 29 - 42
  • [48] A genetic algorithm for clustering on very large data sets
    Gasvoda, J
    Ding, Q
    COMPUTER APPLICATIONS IN INDUSTRY AND ENGINEERING, 2003, : 163 - 167
  • [49] Clustering in very large databases based on distance and density
    Weining Qian
    XueQing Gong
    AoYing Zhou
    Journal of Computer Science and Technology, 2003, 18 : 67 - 76
  • [50] Visualizing very large graphs using clustering neighborhoods
    Mladenic, D
    Grobelnik, M
    LOCAL PATTERN DETECTION, 2005, 3539 : 89 - 97
12345