Mesh : Animals Forensic Entomology Insecta / genetics Databases, Factual Databases, Genetic

来  源:   DOI:10.1093/database/baae058   PDF(Pubmed)

Abstract:
The significance of entomological evidence in inferring the time, location and cause of death has been demonstrated both theoretically and practically. With the advancement of sequencing technologies, reports have emerged on necrophagous insects\' nuclear genomes, transcriptomes, proteomes and mitochondrial genomes. However, within the field of forensic entomology, there is currently no available database that can integrate, store and share the resources of necrophagous insects. The absence of a database poses an inconvenience to the application of entomological evidence in judicial practice and hampers the development of the forensic entomology discipline. Given this, we have developed the Home Of Forensic Entomology database, encompassing 10 core functional modules: Home, Browse, Mitochondria, Proteome, JBrowse, Search, BLAST, Tools, Case base and Maps. Notably, the \'Tools\' module enables multiple sequence alignment analysis (Muscle), homologous protein prediction (Genewise), primer design (Primer), large-scale genomic analysis (Lastz), Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis, as well as expression profiling (PCA Analysis, Hcluster and Correlation Heatmap). In addition, the present database also works as an interactive platform for researchers by sharing forensic entomological case reports and uploading data and material. This database provides potential visitors with a comprehensive function for multi-omics data analysis, offers substantial references to researchers and criminal scene investigators and facilitates the utilization of entomological evidence in court. Database URL: http://ihofe.com/.
摘要:
昆虫学证据在推断时间方面的意义,地点和死因已经在理论和实践上得到了证明。随着测序技术的进步,已经出现了关于嗜食性昆虫核基因组的报道,转录组,蛋白质组和线粒体基因组。然而,在法医昆虫学领域,目前没有可用的数据库可以集成,储存和分享食性昆虫的资源。缺乏数据库给昆虫学证据在司法实践中的应用带来不便,并阻碍了法医昆虫学学科的发展。鉴于此,我们开发了法医昆虫学数据库,包含10个核心功能模块:家庭,浏览,线粒体,蛋白质组,JBrowse,搜索,BLAST,工具,案例基础和地图。值得注意的是,“工具”模块启用多序列比对分析(肌肉),同源蛋白预测(Genewise),底漆设计(底漆),大规模基因组分析(Lastz),基因本体论和京都百科全书的基因和基因组富集分析,以及表达谱分析(PCA分析,聚类和相关热图)。此外,目前的数据库还可以作为研究人员的互动平台,分享法医昆虫学病例报告并上传数据和材料。该数据库为潜在访问者提供了一个全面的功能,用于多组学数据分析,为研究人员和犯罪现场调查人员提供了大量参考,并有助于在法庭上利用昆虫学证据。数据库URL:http://ihofe.com/。
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