By Robert Pool
The target of this workshop used to be to collect bioinformatics stake holders from executive, academe, and for an afternoon of shows and discussion. Fifteen specialists pointed out and mentioned probably the most very important matters raised by means of the present flood of biologic information. subject matters explored incorporated the significance of database curation, database integration and interoperability, consistency and criteria in terminology, errors prevention and correction, info provenance, ontology, the significance of preserving privateness, information mining, and the necessity for extra desktop scientists with area of expertise education in bioinformatics. even supposing formal conclusions and suggestions won't come from this actual workshop, many insights will be gleaned concerning the way forward for this box, from the context of the discussions and displays defined here.
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Additional info for Bioinformatics: converting data to knowledge : a workshop summary
17 Copyright © National Academy of Sciences. All rights reserved. html 18 BIOINFORMATICS: CONVERTING DATA TO KNOWLEDGE ERROR PREVENTION To prevent errors, Overton commented, it is necessary first to know how and why they appear. Some errors are entry errors. The experimentalists who generate the data and enter them into a database can make mistakes in their entries, or curators who transfer data into the database from journal articles and other sources can reproduce them incorrectly. It is also possible for the original sources to contain errors that are incorporated into the database.
On the basis of his group’s experience with detecting and correcting errors, Overton offered a number of lessons. The first and simplest is that it is best not to let the errors get into the database in the first place. “Quality control and quality assurance should be done at the point of entry—that is, when the data are first entered into a database. We shouldn’t have had to run some tool like this. It should have been run at GenBank at the time the information was entered. ” Supporting this comment was Michael Cherry of Stanford, who stated that “everything we do has to be right.
Coli, C. elegans, and Arabidopsis microarrays. Dr. Cherry’s interests are in integrating and facilitating the analysis of the vast amounts of information in genome and microarray databases. *Susan B. Davidson is professor of Computer and Information Science and co-director of the Center for Bioinformatics at the University of Pennsylvania, where she has been since 1982. She got her BS in mathematics at Cornell University (1978) and her PhD in electrical engineering and computer science at Princeton University (1982).
Bioinformatics: converting data to knowledge : a workshop summary by Robert Pool