Subtractive assembly for comparative metagenomics, and its application to type 2 diabetes metagenomes. Wang, M., Doak, T., G., & Ye, Y. Genome Biology, BioMed Central Ltd., 2015.
Subtractive assembly for comparative metagenomics, and its application to type 2 diabetes metagenomes [link]Website  abstract   bibtex   
Comparative metagenomics remains challenging due to the size and complexity of metagenomic datasets. Here we introduce subtractive assembly, a de novo assembly approach for comparative metagenomics that directly assembles only the differential reads that distinguish between two groups of metagenomes. Using simulated datasets, we show it improves both the efficiency of the assembly and the assembly quality of the differential genomes and genes. Further, its application to type 2 diabetes (T2D) metagenomic datasets reveals clear signatures of the T2D gut microbiome, revealing new phylogenetic and functional features of the gut microbial communities associated with T2D. © 2015 Wang et al.
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 title = {Subtractive assembly for comparative metagenomics, and its application to type 2 diabetes metagenomes},
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 keywords = {Diabetes Mellitus,Type 2; Gastrointestinal Tract; Humans; Metagenom,gastrointestinal tract; genetics; human; metagenom},
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 abstract = {Comparative metagenomics remains challenging due to the size and complexity of metagenomic datasets. Here we introduce subtractive assembly, a de novo assembly approach for comparative metagenomics that directly assembles only the differential reads that distinguish between two groups of metagenomes. Using simulated datasets, we show it improves both the efficiency of the assembly and the assembly quality of the differential genomes and genes. Further, its application to type 2 diabetes (T2D) metagenomic datasets reveals clear signatures of the T2D gut microbiome, revealing new phylogenetic and functional features of the gut microbial communities associated with T2D. © 2015 Wang et al.},
 bibtype = {article},
 author = {Wang, M and Doak, T G and Ye, Y},
 journal = {Genome Biology},
 number = {1}
}

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