NDLI: Beyond interoperability-tracking and managing the results of computational applications

Content Provider	IEEE Xplore Digital Library
Author	Cushing, J.B. Laird, J. Pasalic, E. Kutter, E. Hunkapiller, T. Zucker, F. Yee, D.
Copyright Year	1997
Description	Author affiliation: Evergreen State Coll., Olympia, WA, USA (Cushing, J.B.)
Abstract	Molecular biology applications, like those of other scientific domains, need to store and view large amounts of specialized quantitative information. With the advent of high speed sequencing technology and considerable funding to "map" the genomes of key biological organisms, public databases such as GenBank, PDB, EMBL, JIPID, and SwissProt make millions of genetic sequences available to molecular biologists, and industry and university laboratories maintain large databases. The need for common interfaces and query languages to exploit these heterogeneous databases is well documented, and several such systems now exist or are under development. The authors' own work on database and program interoperability in this domain has shown, however, that providing an interface is but a first step towards making these databases fully useful. The system they are developing integrates and trades inputs and results from numerous computational biology programs. It helps researchers organize result items from sequence comparisons into "clusters" that can be marked, named, annotated, and manipulated. An alpha version is implemented in Smalltalk. The paper describes the scientific problem the system aims to solve, as well as current barriers to development and research opportunities suggested by those barriers. They present its conceptual data model, the current prototype, and future implementation plans.
Starting Page	223
Ending Page	236
File Size	1395149
Page Count	14
File Format	PDF
ISBN	0818679522
DOI	10.1109/SSDM.1997.621191
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-08-11
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer applications Sequences Databases Computational biology Laboratories Biology computing Genomics Bioinformatics Biological systems Genetics
Content Type	Text
Resource Type	Article

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