OMICS 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