DocumentCode :
3519138
Title :
Correlations of Length Distributions between Non-coding and Coding Sequences of Arabidopsis thaliana
Author :
Caldwell, Rachel ; Lin, Yan-Xia ; Zhang, Ren
Author_Institution :
Sch. of Biol. Sci., Univ. of Wollongong, Wollongong, NSW
fYear :
2008
fDate :
3-5 Nov. 2008
Firstpage :
72
Lastpage :
77
Abstract :
Gene length and organization are important attributes of genomics. With a large amount of sequence data becoming available, statistical analyses can be applied to this data and will offer beneficial output to research communities. Previous work in this field has focused on protein length and its coding region, while we are investigating the non-coding and coding regions, as well as trying to uncover any potential correlation that may exist between these regions. Analysis on the Arabidopsis thaliana found there was a strong correlation between the coding sequence length and non-coding regions, conditional on the 5psila UTR data. These results seemed consistent over all chromosomes and data that either contained or lacked introns. Classification of proteins into functional classes presented several interesting results. It was found that the number of protein types in a specific functional category decreased as the value of the 5psila UTR ratio, separated into eight subsets, increased. This work has revealed some possible correlations between different gene regions.
Keywords :
bioinformatics; botany; genomics; statistical analysis; 5psila UTR data; Arabidopsis thaliana; gene length; gene organization; genomics; length distribution correlation; noncoding gene sequence; protein coding region; protein functional classification; protein length; sequence data; statistical analysis; Bioinformatics; Biological cells; Biology; DNA; Genomics; Mathematics; Organisms; Proteins; Sequences; Statistical distributions; Arabidopsis thaliana; Un-translated regions; coding sequence; gene lengths; non-coding sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine, 2008. BIBM '08. IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-0-7695-3452-7
Type :
conf
DOI :
10.1109/BIBM.2008.44
Filename :
4684875
Link To Document :
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