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Full-Text Articles in Social and Behavioral Sciences

Case Study On The Pattern Change In Arabidopsis Thaliana Intron Sequence, Ren Zhang, Rachel Caldwell, Yan-Xia Lin, Jinda Kongcharoen, Yiren Yang Nov 2012

Case Study On The Pattern Change In Arabidopsis Thaliana Intron Sequence, Ren Zhang, Rachel Caldwell, Yan-Xia Lin, Jinda Kongcharoen, Yiren Yang

Associate Professor Yan-Xia Lin

A large portion in eukaryotic genomes is introns but their function is not yet fully elucidated. The aims of this study are to employ the generalized Bernoulli modeling approach to estimate the change points based on GC distribution in intron sequences of Arabidopsis thaliana and to investigate whether there is any correlation between gene properties (the gene expression level and the protein function) and these intron pattern changes. The influence of the intron length and the number of GC on the intron sequence pattern changes is demonstrated. Among the random sampled intron sequences, 10.71% have been identified to have pattern …


The Analysis Of Pattern Change In Intron Sequences, Jinda Kongcharoen, Yan-Xia Lin, Rachel Caldwell, Yiren Yang, Ren Zhang Nov 2012

The Analysis Of Pattern Change In Intron Sequences, Jinda Kongcharoen, Yan-Xia Lin, Rachel Caldwell, Yiren Yang, Ren Zhang

Associate Professor Yan-Xia Lin

The Generalized Bernoulli Modeling approach is used to analyze the pattern change in intron sequences of a model plant species Arabidopsis thaliana. The influence of the intron length and the number of GC on the intron sequence pattern changes is examined. Two other gene properties, the gene expression level and the protein function encoded are also assessed. Among the random sampled intron sequences,10.71% of them have been identified to have sequence pattern change. Our study shows that the number of GC and the intron length significantly influence the intron pattern change while the gene expression level and the protein function …


Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin Nov 2012

Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin

Associate Professor Yan-Xia Lin

No abstract provided.


Assessment Of Length Distributions Between Non-Coding And Coding Sequences Amongst Two Model Organisms, Ren Zhang, Rachel Caldwell, Yan-Xia Lin Nov 2012

Assessment Of Length Distributions Between Non-Coding And Coding Sequences Amongst Two Model Organisms, Ren Zhang, Rachel Caldwell, Yan-Xia Lin

Associate Professor Yan-Xia Lin

No abstract provided.


Fitting Probability Forecasting Models By Scoring Rules And Maximum Likelihood, David Johnstone, Yan-Xia Lin Nov 2012

Fitting Probability Forecasting Models By Scoring Rules And Maximum Likelihood, David Johnstone, Yan-Xia Lin

Associate Professor Yan-Xia Lin

No abstract provided.


The Probability Distribution Of Distance Tss-Tls Is Organism Characteristic And Can Be Used For Promoter Prediction, Yun Dai, Ren Zhang, Yan-Xia Lin Nov 2012

The Probability Distribution Of Distance Tss-Tls Is Organism Characteristic And Can Be Used For Promoter Prediction, Yun Dai, Ren Zhang, Yan-Xia Lin

Associate Professor Yan-Xia Lin

Transcription is a complicated process which involves the interactions of promoter cis-elements with multiple trans-protein factors. The specific interactions rely not only on the specific sequence recognition between the cis- and trans-factors but also on certain spatial arrangement of the factors in a complex. The relative positioning of involved cis-elements provides the framework for such a spatial arrangement. The distance distribution between gene transcription and translation start sites (TSS-TLS) is the subject of the present study to test an assumption that over evolution, the TSS-TLS distance becomes a distinct character for a given organism. Four representative organisms (Escherichia cloi, Saccharomyces …