• Introduction
  • Meta-Storms is a microbiome database system toolkit to systematically and efficiently organize and search microbiome data. It includes the following components: (i) creating a database of microbiome samples based on their taxonomical annotations, (ii) efficiently indexing all samples in the database based on taxonomical structures, and (iii) searching for a microbiome sample against the database by a fast scoring function based on quantitative phylogeny. Meta-Storms also has modules to efficiently manage the database, which is especially useful when the database is huge.

    The online system with Microbiome Search Engine is now open at The Meta-Storms scoring function algorithm has been integrated in Parallel-META 3 to compute the phylogeny based similarity among microbiome samples.

    The standalone Meta-Storms 2 now is under development. Meta-Storms 2 has a better and more stable performance with extremely large microbiome datasets.

  • Input pre-computation
  • The input samples should be pre-computed by Parallel-META 3.

  • Publications
  • Xiaoquan Su, Xuetao Wang, Gongchao Jing, Kang Ning. GPU-Meta-Storms: Computing the structure similarities among massive amount of microbial community samples using GPU. Bioinformatics 2013; doi: 10.1093/bioinformatics/btt736

    Xiaoquan Su, Jian Xu, Kang Ning. Meta-Storms: Efficient Search for Similar Microbial Communities Based on a Novel Indexing Scheme and Similarity Score for Metagenomic Data. Bioinformatics 2012; doi: 10.1093/bioinformatics/bts470

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