Synopses & Reviews
During the last decade, the unparalleled growth of biomolecular data--particularly nucleic acid sequences--has led to extraordinary breakthroughs in biotechnology. But the accompanying development of specialized databases has inevitably resulted in restrictions, for example, in accessing data and manipulating it, that could curb further advances in the biological sciences. Biomolecular Data examines both the strengths and shortcomings of today's databases, and explores a variety of proposals for developing advanced database systems that will help sustain scientific progress in the future. The contributors, including noted specialists in database management, address issues such as improving quality control of data, ensuring timeliness and reliability, data documentation, peer review, computer education and training. As Biomolecular Data makes clear, the value of databases will continue to depend on both innovation in data management and cooperation among data managers, scientists, journal editors and sponsoring organizations.
Table of Contents
PART I: The Emergence of Biomolecular Data Management
PART II: Managing Molecular Data
PART III: Using Biomolecular Data
PART IV: Future Trends in the Management of Biomolecular Data