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SAB News

Winners of the “IT in Genomics Research” Study Drawing
Posted 2/22/2005

The Science Advisory Board surveyed more than 600 life scientists in order to identify the hardware and software used for the analysis, integration and transmission of genomics research data. In this study, genomics research was defined as either the use of techniques, such as amplification, genotyping and sequencing to acquire data, or the use of tools to access and analyze this data.

To read a summary of the study’s highlights, please click on the link to the Study Snapshots section at: http://www.scienceboard.net/studies/studies.112.html.

As a token of our appreciation, study participants were entered into a drawing for three $20 (USD) honoraria from Amazon.com. The lucky winners and their suggestions regarding the creation of a “dream database” for genomics research appear below.

Kathryn, Lab Director
  • “I would charge users on a yearly basis, based upon how often they access the database. That way, users that don't access the database very frequently would not be charged as much as users that access it much more frequently (daily or weekly basis). Scientists that were submitting data on a fairly regular basis would also have a lower fee for accessing data, as they were contributing to the database and not just pulling out data to use in their own research. Those that were only using the data and not submitting any would be charged more than those that were contributing scientifically.”

David, Principal Investigator
  • “Data has to be submitted in FASTA format and accepted at a peer-reviewed journal - - to ensure that the data can be read by all users and that the quality of the data is high.”

Walter, Lab Director
  • “Data submitted to the database must meet standards of mean and variance for a set of genomic samples. The database software must: a) be openly compatible with all platforms; and b) work on computers five years old and younger. The data must allow a researcher to test and probe in defined ways to insure accessibility and uniqueness, as well as allow one to easily model a situation - - from disease to forensic to quality with ease. Finally, the database should be easy to use and easy to understand.”

Congratulations to everyone who made this study possible.

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