Analysis of the Performance of Putative Barcodes

最初，Spouge博士被邀请参加2009年爱丁堡会议“为植物选择条形码位点”，这是生命条形码联盟内植物工作组的一个子集的聚会，以帮助选择植物条形码。其他与会人员对大量陆生植物中的7个候选条形码位点进行了测序，这样斯波格博士和纽约植物园的达蒙·利特尔就可以分析结果数据，让与会人员为植物条形码选择标记。爱丁堡会议从7种选择中选择rbcL和matK作为2种植物条形码标记。后来，Spouge博士为阿姆斯特丹真菌条形码工作组（2011年）进行了类似的数据分析，从4个选择中选择了ITS（结构核糖体rna之间的内部转录间隔器）。他为柏林的原生条形码工作组（Protist Barcode Working Group）提供了类似的服务（2011年），但数据不足阻碍了决定性的分析。他在用户友好的程序中公开了他的分析实现，以允许条形码研究人员进行他们自己的分析。最近，他与马丁博士合作，分析了条形码在识别东南亚真菌方面的功效。这种分析在选择不同真菌分支的二级标记时可能特别重要。

Originally, Dr. Spouge was invited to the 2009 Edinburgh Conference "Selecting Barcode Loci for Plants", a gathering of a subset of the Plant Working Group within the Consortium for the Barcode of Life, to help select a plant barcode. The other conference participants sequenced 7 candidate barcode loci across a broad range of land plants, so Dr Spouge and Damon Little of the New York Botanical Garden could analyze the resulting data, to permit the conference participants to select markers for a plant barcode. The Edinburgh Conference selected rbcL and matK as the 2 plant barcode markers, from 7 choices. Later, Dr. Spouge performed a similar data analysis for the Fungal Barcode Working Group in Amsterdam (2011), which selected ITS (the Internal Transcribed Spacer between structural ribosomal RNAs) from 4 choices. He offered similar services to the Protist Barcode Working Group in Berlin (2011), but insufficient data prevented a decisive analysis. He had made implementations of his analysis publicly available in user-friendly programs, to permit barcode researchers to carry out their own analyses. More recently, in collaboration with Dr. Martin, he has analyzed the efficacy of barcodes in identifying South-East Asian fungi. Such analyses are likely to be particularly important in selecting secondary markers in different fungal clades. He is also working with Dr Martin to test web tools for automating the evaluation of barcode efficacy. The collaboration is producing statistical tools for the objective evaluation of the accuracy of taxonomic classification. Dr Martin is applying the tools to the evaluation of DNA barcodes in the fungal Genus Ramaria.