Krishna Neelam, Vishwakarma Shraddha, Katara Pramod
Computational Omics Lab, Centre of Bioinformatics, University of Allahabad, Prayagraj - 211002, India.
Bioinformation. 2022 Aug 31;18(8):703-709. doi: 10.6026/97320630018703. eCollection 2022.
It is of interest to identify and annotate milk associated genes using expression profiling and RNA-Seq data from milk somatic cells. RNA-Seq data was pre-processed and mapping was done to identify differentially expressed genes (DEG). The functional insights about the up and down regulated genes were gleaned using the protein-protein interaction Network in the STRING database followed by CytoHubba analysis in Cytoscope. Gene ontology, annotation and pathway enrichment was completed using ShinyGO, David tool and QTL analysis. These analysis shows that 21 genes are linked with the secretion of milk.
利用来自乳体细胞的表达谱和RNA-Seq数据来鉴定和注释与牛奶相关的基因很有意义。对RNA-Seq数据进行预处理并进行映射以鉴定差异表达基因（DEG）。使用STRING数据库中的蛋白质-蛋白质相互作用网络，随后在Cytoscope中进行CytoHubba分析，以获取关于上调和下调基因的功能见解。使用ShinyGO、David工具和QTL分析完成基因本体、注释和通路富集。这些分析表明，有21个基因与牛奶分泌有关。
