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"In this book, present a number of computational medicine topics at several scales: from molecules to cells, organs, and organisms. At the molecular level, tools for the analysis of genome variations as well as cloud computing resources for medical genetics are reviewed. Then, an analysis of gene expression data and the application to the characterization of microbial communities are highlighted. At the protein level, two types of analyses for mass spectrometry data are reviewed, labeled quantitative proteomics and lipidomics, followed by protein sequence analysis and a 3D structure and drug design chapter. Finally, three chapters on clinical applications focus on the integration of biomolecular and clinical data for cancer research, biomarker discovery, and network-based methods for computational diagnostics."

"Data Agregat/Data Statisik merupakan data yang berbentuk ringkasan bersifat kualitatif atau kuantitatif yang tidak dapat mengindentifikasi seseorang. Oleh karena itu, Data Agregat/Data Statistik dapat dimanfaatkan oleh siapa saja baik Pemerintah maupun Swasta. Namun, dalam Rancangan Undang Pelindungan Data Pribadi, pengaturan mengenai Data Agregat/Data Statistik hanya ditujukan untuk penyelenggaraan negara saja. Belum lagi, dari sudut pandang pelindungan Hak Kekayaan Intelektual, Data Statistik merupakan hasil karya intelektualitas yang bagi Penciptanya diberikan hak eksklusif. Akibatnya, pemanfaatan Data Agregat/Data Statistik untuk berbagai keperluan baik penelitian maupun bisnis semakin sulit dilakukan oleh masyarakat. Dalam penelitian ini digunakan metode penelitian dengan pendekatan yuridis normatif dan deskriptif analitis dengan menggunakan pendekatan peraturan perundang-undangan dan bahan pustaka seperti literatur dan jurnal. Penelitian ini memberikan simpulan bahwa berdasarkan peraturan Pelindungan Data Pribadi baik di Indonesia maupun di negara lain, Data Agregat/ Data Statistik bukan merupakan Data Pribadi yang harus dilindungi sehingga dikecualikan dalam pengaturan secara keseluruhan tidak hanya untuk kepentingan penyelenggaraan negara saja. Selanjutnya, berdasarkan peraturan HKI, Data Agregat/Data Statistik merupakan Ciptaan yang berbentuk kompilasi data yang dilindungi oleh Undang-Undang No. 28 Tahun 2004 Tentang Hak Cipta. Selain Hak Cipta, Data Agregat/Data Statistik dapat dilindungi oleh Undang-Undang No. 30 Tahun 2000 Tentang Rahasia Dagang apabila informasi di dalamnya bersifat rahasia, memiliki nilai ekonomi, dan dilakukan berbagai langkah untuk menjaga kerahasiaanya tersebut.

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Aggregate Data/Statistical Data is data in the form of a qualitative or quantitative summary that cannot identify a person. Therefore, Aggregate Data/ Statistical Data can be used by anyone, both Government and Private. However, in the Personal Data Protection Bill, the Aggregate Data/Statistical Data regulation is only intended for state administration. Besides that, from the point of view of protecting Intellectual Property Rights, Statistical Data is the result of intellectual work for which the Creator is granted exclusive rights. As a result, the use of Aggregate Data/Statistical Data for various purposes, both research and business, is increasingly difficult for the public to do. In this study, the research method that was used is a normative juridical and an analytical descriptive approach with focus on legislation and library materials such as literature and journals. This research concludes that based on the regulation of Personal Data Protection both in Indonesia and others country, Aggregate Data/Statistical Data is not Personal Data that must be protected so that it is excluded in the overall regulation not only for the state administration. Furthermore, based on IPR regulations, Aggregate Data/Statistical Data is a Creation in the form of a compilation of data protected by Act No. 28 of 2004 concerning Copyright. In addition to Copyright, Aggregate Data/Statistical Data can be protected by Act No. 30 of 2000 concerning Trade Secrets if the information inside is confidential, has economic value, and various steps are taken to maintain its confidentiality."