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Activity Number:
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416
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #310261 |
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Title:
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Characterization of Transcriptomes by Application of Reliability Analysis in Structural Genomics
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Author(s):
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Fisseha Abebe*+ and William Seffens
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Companies:
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Clark Atlanta University and Clark Atlanta University
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Address:
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223 James Brawley Dr, Atlanta, GA, 30314,
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Keywords:
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mrna ; randomized sequence ; weibull random variable ; folding energy
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Abstract:
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Bioinformatic studies have demonstrated that local mRNA stability is important in gene expression. Previous examination of 51 mRNAs revealed a bias toward more negative folding energies in gene sequences globally. Instead of examining a limited number of genes, this statistical study considered about 6000 Human, 12000 Mouse and 17000 Arabidopsis complete sets of mRNAs termed transcriptomes and analyzed the variation of energy values among genes of differing length. Randomized sequence folding free energies were found to have the same distribution but with means having different slopes for the three transcriptomes. Further investigation showed that the Weibull random variable describes mRNA fold distribution within and among genomes more accurately than conventional power functions which have been used in a number of structural genomic studies.
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