首页> 外文会议>Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on >Poster: In silico microarray algorithm: Accurate and fast taxonomic profiling from short read sequences
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Poster: In silico microarray algorithm: Accurate and fast taxonomic profiling from short read sequences

机译:海报:计算机微阵列算法:短读序列的准确快速分类学分析

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摘要

We here propose a novel algorithm that can accurately estimate taxonomic composition of microbial communities from massive amount of short read sequences (60-120 bp). Our accuracy evaluation based on simulated datasets demonstrated that our method achieves much higher accuracies than previously proposed methods including Taxy, Qin's method and RDPClassifier. The source code is freely available under GNU Public Licence (GPL) from http://ism.dna.bio.keio.ac.jp.
机译:我们在这里提出一种新颖的算法,可以从大量短读序列(60-120 bp)中准确估算微生物群落的生物分类组成。我们基于模拟数据集的准确性评估表明,我们的方法比以前提出的包括Taxy,Qin方法和RDPClassifier的方法具有更高的准确性。可从http://ism.dna.bio.keio.ac.jp根据GNU公共许可证(GPL)免费获得源代码。

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