Taxonomics Methods Using DNA

使用 DNA 的分类学方法

• 批准号: 10471121
• 负责人: John Spouge
• 金额: $ 7.49万
• 依托单位: NATIONAL LIBRARY OF MEDICINE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10471121
• 关键词: Bar Codes; Bioinformatics; Classification; Collaborations; Custom; DNA; DNA Sequence; Data; Data Analyses; Fraud; Genbank; Goals; International; Internet; Life; Medical; Methods; Organism; Plants; Regulation; Research Personnel; Southeastern Asia; Spain; Standardization; Statistical Methods; Taxonomy; Testing; Treaty; Update; Wild Animals; efficacy evaluation; genomic locus; improved; meetings; pathogen; programs; statistics; symposium; tool; user-friendly; working group

The project started when Dr. Spouge was invited to analyze data for the 2009 Edinburgh Conference "Selecting Barcode Loci for Plants", a meeting of the Plant Working Group within the Consortium for the Barcode of Life. Later, Dr. Spouge performed a similar data analysis for the Fungal Barcode Working Group in Amsterdam in 2011. In collaboration with Dr. Martin, he has used DNA barcodes to analyze fungal taxonomy in South-East Asia and Spain. Implementations of his analysis are publicly available in user-friendly programs, updated to permit barcode researchers to replicate Dr Spouge's analyses on their own data. Dr Martin has actively tested the web tools. The collaboration is also producing statistical methods for the objective comparison of methods of taxonomic classification, notably GenBank annotation and expert classification. Dr Martin is applying the methods and tools in the fungal Genus Ramaria.

该项目是在Spouge博士受邀为2009年爱丁堡会议“为植物选择条形码基因座”分析数据时开始的，这是生命条形码联盟内植物工作组的一次会议。后来，斯普奇博士在2011年为阿姆斯特丹的真菌条形码工作组进行了类似的数据分析。 他与马丁博士合作，使用DNA条形码分析东南亚和西班牙的真菌分类。他的分析的实现在用户友好的程序中公开可用，更新后的程序允许条形码研究人员在他们自己的数据上复制Spouge博士的分析。马丁博士对网络工具进行了积极的测试。合作还为分类方法的客观比较提供了统计方法，特别是GenBank注解和专家分类。马丁博士正在将这些方法和工具应用于真菌拉玛利亚属。