sigma omicsbio.org

SIGMA Strain-level Identification of Genomes from Metagenomic Analysis for Biosurveillance

August 29, 2014. Identification of microbes and accurate estimation of their relative abundance are crucial subjects in metagenomic analysis. Existing taxonomic classification methods are unsuitable for metagenomic biosurveillance due to the following three factors. First, reference genomes including complete genomes of pathogenic bacteria are required. Second, strain-level genome identification from the same species is essential. Third, statistical confidence evaluation of the metagenomi.Nalysis, a n.
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The Chongle Pan Lab at ORNLUTK Integrated -omics, Systems biology, Bioinformatics, and High-performance computing

Integrated -omics, Systems biology, Bioinformatics, and High-performance computing. Community proteogenomics reveals the systemic impact of phosphorus availability on microbial functions in tropical soil. Community proteogenomics reveals the systemic impact of phosphorus availability on microbial functions in tropical soil. Biomedical knowledge representation and reasoning. Biomedical knowledge representation and reasoning.

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TITLE

SIGMA Strain-level Identification of Genomes from Metagenomic Analysis for Biosurveillance

DESCRIPTION

August 29, 2014. Identification of microbes and accurate estimation of their relative abundance are crucial subjects in metagenomic analysis. Existing taxonomic classification methods are unsuitable for metagenomic biosurveillance due to the following three factors. First, reference genomes including complete genomes of pathogenic bacteria are required. Second, strain-level genome identification from the same species is essential. Third, statistical confidence evaluation of the metagenomi.Nalysis, a n.

CONTENT

This website sigma.omicsbio.org states the following, "Identification of microbes and accurate estimation of their relative abundance are crucial subjects in metagenomic analysis." Our analyzers analyzed that the website also stated " Existing taxonomic classification methods are unsuitable for metagenomic biosurveillance due to the following three factors." The Website also stated " First, reference genomes including complete genomes of pathogenic bacteria are required. Second, strain-level genome identification from the same species is essential. Third, statistical confidence evaluation of the metagenomi."

OTHER WEBSITES

Sipros Proteomics data analysis software

Sipros is a database-searching algorithm for peptide and protein identification in shotgun proteomics. 3 Identification of post-translational modifications. 4 Identification of amino acid mutations. 1 Scalable to high-performance computing. 2 Full integration with ProRata for quantification.

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