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ORCIDOMICS A Journal of Integrative Biology, Volume 7
Volume 7, Number 1, Spring 2003
- Frank Olken, H. V. Jagadish:
Data Management for Integrative Biology. 1-2
- Michael Gribskov
:
Challenges in Data Management for Functional Genomics. 3-6 - Ambuj K. Singh:
Querying and Mining Biological Databases. 7-8 - Helen M. Berman, John D. Westbrook:
The Need for Dictionaries, Ontologies, and Controlled Vocabularies. 9-10 - Susan B. Davidson:
Sharing Biomedical Data with Impunity and Ease. 11-12 - Jessie B. Kennedy:
Supporting Taxonomic Names in Cell and Molecular Biology Databases. 13-16 - Gio Wiederhold:
The Impossibility of Global Consistency. 17-20 - Peter A. Covitz:
To Infinity, and Beyond: Uniting the Galaxy of Biological Data. 21-22 - Judith Bayard Cushing:
Metadata and Semantics: A Computational Challenge for Molecular Biology. 23-24 - Zhiping Weng:
Managing Biological Sequence and Protein Structure Data. 25-26 - Mark S. Tuttle:
Explaining Biology to Computers. 27-30 - George M. Garrity, Catherine Lyons:
Future-Proofing Biological Nomenclature. 31-34 - Peter D. Karp:
What Database Management System(s) Should Be Employed in Bioinformatics Applications? 35-36 - Douglas Stott Parker Jr., Michael M. Gorlick, Christopher J. Lee:
Evolving from Bioinformatics in-the-Small to Bioinformatics in-the-Large. 37-48 - Peter Li:
Biological Data Extinction. 49-50 - Louiqa Raschid:
Data Modeling and Data Management for the Biological Enterprise. 51-56 - Daniel P. Miranker:
Metric-Space Indexes as a Basis for Scalable Biological Databases. 57-60 - Toni Kazic, Edward H. Coe, Mary L. Polacco, Chi-Ren Shyu:
Whither Biological Database Research? 61-66 - Michael N. Liebman:
Data Management Systems: Science versus Technology? 67-70 - David Maier:
Will Database Systems Fail Bioinformatics, Too? 71-74 - Frank Olken:
Graph Data Management for Molecular Biology. 75-78 - J. Dana Eckart, Bruno W. S. Sobral:
A Life Scientist's Gateway to Distributed Data Management and Computing: The PathPort/ToolBus Framework. 79-88 - Jignesh M. Patel:
The Role of Declarative Querying in Bioinformatics. 89-92 - Barbara A. Eckman, Julia E. Rice, Peter M. Schwarz:
Data Management in Molecular and Cell Biology: Vision and Recommendations. 93-98 - Philip A. Bernstein:
Applying Generic Schema Management to Bioinformatics. 99-100 - Adriane Chapman, Cong Yu, H. V. Jagadish:
Effective Integration of Protein Data through Better Data Modeling. 101-102 - Christian J. Stoeckert Jr.:
Common Objects: Think Global, Act Local. 103-104 - Amarnath Gupta, Bertram Ludäscher:
The Many Faces of Process Interaction Graphs: A Data Management Perspective. 105-108 - Shalom Tsur:
A Plea for Normalization of Biosciences Information. 109-112 - Zoé Lacroix:
Designing Efficient User-Friendly Biological Data Management Systems. 113-116 - Joachim Hammer, Markus Schneider:
Going Back to Our Database Roots for Managing Genomic Data. 117-120 - Victor M. Markowitz:
Data Management Challenges for Molecular and Cell Biology: An Industry Perspective. 121-122 - Z. Meral Özsoyoglu, Joseph H. Nadeau, Gultekin Özsoyoglu:
Pathways Database System. 123-126 - Russ B. Altman:
Complexities of Managing Biomedical Information. 127-130 - H. V. Jagadish, Frank Olken:
Database Management for Life Science Research: Summary Report of the Workshop on Data Management for Molecular and Cell Biology at the National Library of Medicine, Bethesda, Maryland, February 2-3, 2003. 131-137
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