Comprehensive computational analysis of chromosome 11

Abhivyakti Srivastava, Mottadi Shiva, P. Kumari, Y. Hasija
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Abstract

Even before the onset of Human Genome Project in 1990, various research, analysis and experiments was going on human genome. In human genome, approximately 3 billion base pairs are structured in the form of 23 pairs of chromosomes. Chromosome 11 is a chromosome that is rich in disease and has a size of 134 million base pairs. From over 1000 genome web servers, the sequence data for the chromosome 11 has been taken as a (.bam) file. On Chromosome 11, approximately 45 different analyses were performed across various fields and categories, such as determining the sequence quality, over represented sequence, peak model, visualizing BAC end pairs, secondary structure prediction by analyses hydroxyl cleavage sites, GC percentage, studying phenotype and disease associated with respect to chromosome 11. Here, we have analysed the evolutionary relationship by isolating positively selected genes across 6 species; predicted the t-RNA and RNA secondary structures and aligned them discretely with the human genome chromosome 11. All these analyses was done primarily with the help of two tools, 1) Web based program-NEBULA and 2) UCSC genome browser.
11号染色体的综合计算分析
早在1990年人类基因组计划启动之前,人们就已经开始对人类基因组进行各种各样的研究、分析和实验。在人类基因组中,大约有30亿个碱基对以23对染色体的形式构成。11号染色体是一种富含疾病的染色体,其大小为1.34亿个碱基对。从1000多个基因组网络服务器中,11号染色体的序列数据被作为一个(.bam)文件。在第11号染色体上,在不同领域和类别中进行了大约45种不同的分析,例如确定序列质量,过度代表序列,峰值模型,可视化BAC端对,通过分析羟基切割位点预测二级结构,GC百分比,研究与第11号染色体相关的表型和疾病。在这里,我们通过分离6个物种的正选择基因来分析进化关系;预测了t-RNA和RNA二级结构,并将它们与人类基因组11号染色体进行了离散比对。所有这些分析主要是借助两个工具完成的:1)基于Web的程序星云和2)UCSC基因组浏览器。
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