Researching for genetic sequences has come a long way in the past 25 years. There are large public databases that contain a wealth of information however they make up a fraction of the data when combined with proprietary databases, in-house databases, images, illustations, local hard drive data and print documents.
The lack of complete data can cost biotechnology and pharmaceutical companies millions of dollars a year in wasted resources on incomplete, out-of-date or unusable sequence data. This data can lead to:
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misdirected laboratory effort
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poor intellectual property(IP) portfolio decisions
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broken patents
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project termination
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more…
Here are 5 of the 10 best practices for searching genetic sequence databases that will help to minize and avoid the negative impact of poor genetic sequece data on a research project :
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Use patient sequence data
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Utilize annotation information
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Do not delay
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Make sure you have current results
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Obtain direct access to the database
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All 10 in white paper
This white paper, provided by GenomeQuest, discusses the top ten mistakes that researchers can come across when searching gene sequences using the GenBank genetic sequence database.
