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Kassiopeia is a web application for the generation, storage, and presentation of genome-wide analyses of mutually exclusive exonomes. In the prediction pipeline relaxed parameters were used to also identify very divergent exons at the expense of potentially incorporating false positive predictions. However, Kassiopeia provides many filters to adjust these parameters to narrow the results further down at the analysis level. Kassiopeia also offers several search options so that users can analyse the data from the whole genome scale to the single gene case. In order to provide test data we predicted the mutually exclusive exonomes of twelve sequenced Drosophila species, of the plant Arabidopsis thaliana, of the flatworm Caenorhabditis elegans, and of human.

Kassiopeia是一款用于生成、存储及展示互斥外显子组(mutually exclusive exonomes)全基因组分析成果的Web应用。其预测流程采用了宽松参数,旨在识别差异显著的外显子,但此举可能引入假阳性预测结果。不过,Kassiopeia内置多种筛选工具,支持在分析层级调整上述参数,从而进一步缩小结果范围。此外,Kassiopeia还提供多种检索功能,支持用户从全基因组尺度到单基因案例的全维度数据分析。为提供测试数据集,本团队已预测了12个已测序果蝇物种、植物拟南芥(Arabidopsis thaliana)、扁形动物秀丽隐杆线虫(Caenorhabditis elegans)以及人类的互斥外显子组。

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数据集介绍
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背景与挑战
背景概述
Kassiopeia是一个用于全基因组互斥外显子组分析的Web应用程序,它通过宽松参数预测外显子并提供了多种过滤器和搜索选项,以支持从全基因组到单个基因的多尺度数据分析,并包含多个物种的测试数据。
以上内容由遇见数据集搜集并总结生成
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