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Abstract Details
Activity Number:
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528
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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WNAR
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Abstract - #304177 |
Title:
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A Scoring System for Consensus Sequence Matching
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Author(s):
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Dongseok Choi*+ and Kathryn Carr and Lauren Hayashi and Marry J Kelley and Ted Acott
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Companies:
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Oregon Health and Science University and Oregon Health and Science University and Oregon Health and Science University and Oregon Health and Science University and Oregon Health and Science University
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Address:
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3181 SW Sam Jackson Park Rd. CB-669, Portland, OR, 97239, United States
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Keywords:
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transcription factor ;
transcription factor binding site ;
consensus sequence ;
gene expression ;
motif
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Abstract:
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Transcription factors do serve a crucial role in regulating gene expression patterns. Transcription factor binding sites (TFBS) can be predicted from DNA base pair sequence data of a group of co-expressed genes using statistical models. Generally, a consensus sequence and matrix are returned from such analyses. A TFBS is about 8 -25 base pairs and the core sequence is about 5 base pairs. Although finding TFBS of a group of co-expressed genes is relatively straightforward due to the availability of software, identification is a challenge. One way to identify predicted TFBS is searching a database using a predicted consensus sequence. Unfortunately, database search usually returns multiple hits. In this presentation, a new method to rank multiple identifications will be presented.
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Authors who are presenting talks have a * after their name.
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