Abstract | ||
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Genomics is becoming a data-intensive science, and an in- creasing number of laboratories are generating data which swamps storage in traditional paper-and-ink notebooks. Capturing the data flow requires large systems with multi- ple applications manipulating the same or similar data. Large systems often have conflicting requirements for data representation. Consistency across applications is a prime consideration, and appropriate data representation is an important issue in developing practical systems for molecu- lar biologists. Graphs are a natural representation for de- scribing genome data, while objects are good for modeling the behavior necessary for laboratory applications. We present a method for translating graph descriptions of ge- nome data into objects using objects as views on graphs. Graph representations describe genome concepts while ob- jects capture individual views for application development insuring consistency across genome applications. |
Year | Venue | Keywords |
---|---|---|
1995 | ISMB | data flow,application development,data representation,graph representation |
Field | DocType | Volume |
Prime (order theory),Genome,Graph,External Data Representation,Computer science,Genomics,Software,Artificial intelligence,Bioinformatics,Computer graphics,Machine learning,Data flow diagram | Conference | 3 |
ISSN | Citations | PageRank |
1553-0833 | 0 | 0.34 |
References | Authors | |
9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ellen R. Bergeman | 1 | 0 | 0.68 |
Mark Graves | 2 | 13 | 9.30 |
C. B. Lawrence | 3 | 22 | 9.04 |