Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology

@inproceedings{Afendi2013DataMM,
  title={Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology},
  author={Farit Mochamad Afendi and Naoaki Ono and Yukiko Nakamura and Kensuke Nakamura and Latifah K. Darusman and Nelson K Kibinge and Aki Hirai Morita and Ken Tanaka and Hisayuki Horai and Md. Altaf-Ul-Amin and Shigehiko Kanaya},
  booktitle={Computational and structural biotechnology journal},
  year={2013}
}
Molecular biological data has rapidly increased with the recent progress of the Omics fields, e.g., genomics, transcriptomics, proteomics and metabolomics that necessitates the development of databases and methods for efficient storage, retrieval, integration and analysis of massive data. The present study reviews the usage of KNApSAcK Family DB in metabolomics and related area, discusses several statistical methods for handling multivariate data and shows their application on Indonesian… CONTINUE READING
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