Degalez Fabien, Bardou Philippe, Lagarrigue Sandrine
PEGASE, INRAE, Institut Agro, 35590 Saint Gilles, France.
Sigenae, GenPhySE, Université de Toulouse, INRAE, ENVT, F-31326 Castanet Tolosan, France.
NAR Genom Bioinform. 2024 Aug 16;6(3):lqae101. doi: 10.1093/nargab/lqae101. eCollection 2024 Sep.
GEGA is a user-friendly tool designed to navigate through various genomic and functional information related to an enriched gene atlas in chicken that integrates the gene catalogues from the two reference databases, NCBI-RefSeq and EMBL-Ensembl/GENCODE, along with four additional rich resources such as FAANG and NONCODE. Using the latest GRCg7b genome assembly, GEGA encompasses a total of 78 323 genes, including 24 102 protein-coding genes (PCGs) and 44 428 long non-coding RNAs (lncRNAs), significantly increasing the number of genes provided by each resource independently. However, GEGA is more than just a gene database. It offers a range of features that allow us to go deeper into the functional aspects of these genes. Users can explore gene expression and co-expression profiles across 47 tissues from 36 datasets and 1400 samples, discover tissue-specific variations and their expression as a function of sex or age and extract orthologous genes or their genomic configuration relative to the closest gene. For the communities interested in a specific gene, a list of genes or a quantitative trait locus region in chicken, GEGA's user-friendly interface facilitates efficient gene analysis, easy downloading of results and a multitude of graphical representations, from genomic information to detailed visualization of expression levels.
GEGA是一个用户友好型工具,旨在浏览与鸡的富集基因图谱相关的各种基因组和功能信息,该图谱整合了来自两个参考数据库NCBI - RefSeq和EMBL - Ensembl/GENCODE的基因目录,以及FAANG和NONCODE等另外四个丰富资源。使用最新的GRCg7b基因组组装,GEGA总共涵盖78323个基因,包括24102个蛋白质编码基因(PCG)和44428个长链非编码RNA(lncRNA),显著增加了每个资源独立提供的基因数量。然而,GEGA不仅仅是一个基因数据库。它提供了一系列功能,使我们能够更深入地了解这些基因的功能方面。用户可以探索来自36个数据集和1400个样本的47个组织中的基因表达和共表达谱,发现组织特异性变异及其作为性别或年龄函数的表达,并提取直系同源基因或其相对于最接近基因的基因组配置。对于对鸡中特定基因、基因列表或数量性状基因座区域感兴趣的群体,GEGA用户友好的界面便于进行高效的基因分析、轻松下载结果以及提供从基因组信息到详细表达水平可视化的多种图形表示。