GSLA:在表型水平上破译基因型变化的工具

2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC) Pub Date : 2022-09-01 DOI:10.1109/ICNISC57059.2022.00126

Li Ruan, Pengcheng Chen

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引用次数: 0

摘要

我们使用基因集连锁分析(GSLA)工具来解释组学研究中表达变化基因的功能影响。一些研究表明，该算法有助于在转录组谱分析中发现生理协调的新线索，而传统的分析工具无法找到类似的结果。GSLA的网络工具支持七种模式生物:包括智人、肌肉动物、拟南芥等。

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GSLA: A Tool for Deciphering Genotype Changes on Phenotype Level

We perform the gene set linkage analysis (GSLA) tool for interpreting the functional influences of genes with expression change in omics studies. It has been illustrated in several studies that the algorithm is useful for finding new clues for physiological coordination in transcriptome profile analyses, where traditional analysis tools cannot find similar results. The web tool of GSLA supports seven model organisms: including H. sapiens, M. musculus, A. thaliana et al.

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2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)

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