Blaxter M, Aslett M, Guiliano D, Daub J
Institute of Cell, Animal and Population Biology, University of Edinburgh, UK.
Parasitology. 1999;118 Suppl:S39-51. doi: 10.1017/s0031182099004060.
The initiation of genome projects on helminths of medical importance promises to yield new drug targets and vaccine candidates in unprecedented numbers. In order to exploit this emerging data it is essential that the user community is aware of the scope and quality of data available, and that the genome projects provide analyses of the raw data to highlight potential genes of interest. Core bioinformatics support for the parasite genome projects has promoted these approaches. In the Brugia genome project, a combination of expressed sequence tag sequencing from multiple cDNA libraries representing the complete filarial nematode lifecycle, and comparative analysis of the sequence dataset, particularly using the complete genome sequence of the model nematode C. elegans, has proved very effective in gene discovery.
对具有医学重要性的蠕虫开展基因组计划有望产生数量空前的新药物靶点和候选疫苗。为了利用这些新出现的数据，用户群体必须了解可用数据的范围和质量，并且基因组计划要对原始数据进行分析以突出潜在的感兴趣基因。对寄生虫基因组计划的核心生物信息学支持推动了这些方法。在布鲁氏菌基因组计划中，对代表丝虫线虫完整生命周期的多个cDNA文库进行表达序列标签测序，并对序列数据集进行比较分析，特别是利用模式线虫秀丽隐杆线虫的完整基因组序列，已证明在基因发现方面非常有效。
