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c-GAMMA: Comparative Genome Analysis of Molecular Markers

机译:c-GAMMA:分子标记的比较基因组分析

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Discovery of molecular markers for efficient identification of living organisms remains a challenge of high interest. The diversity of species can now be observed in details with low cost genomic sequences produced by new generation of sequencers. A method, called c-GAMMA, is proposed. It formalizes the design of new markers for such data. It is based on a series of filters on forbidden pairs of words, followed by an optimization step on the discriminative power of candidate markers.rnFirst results are presented on a set of microbial genomes. The importance of further developments are stressed to face the huge amounts of data that will soon become available in all kingdoms of life.
机译:发现用于有效识别活生物体的分子标记仍然是人们高度关注的挑战。现在可以用新一代测序仪产生的低成本基因组序列详细观察物种的多样性。提出了一种称为c-GAMMA的方法。它正式确定了此类数据的新标记的设计。它基于对禁止的单词对的一系列过滤器,然后对候选标记的判别能力进行了优化步骤。首先,对一组微生物基因组进行了研究。强调进一步发展的重要性,以面对即将在所有生命王国中获得的大量数据。

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