2021FigshareOpen access

Additional file 7 of A comprehensive approach for microbiota and health monitoring in mouse colonies using metagenomic shotgun sequencing

Ferdinando Scavizzi, Cristian Bassi, Laura Lupini, Paola Guerriero, Marcello Raspa, Silvia Sabbioni

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Abstract

Differences between SPF and non-SPF mice at phylum and family level. Each line represents phylum (average greater than 100 ppm in at least one of the two groups of samples) or family (average above 100 ppm in both groups of samples, except for Helicobacteraceae which are absent in the SPF mice) identified in SPF and non-SPF samples. Pvalues have been calculated by DSEQ2 in Bioconductor. Families and phyla whose differences were statistically significant show a pvalue< 0,05.

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What this paper is about

Differences between SPF and non-SPF mice at phylum and family level. Each line represents phylum (average greater than 100 ppm in at least one of the two groups of samples) or family (average above 100 ppm in both groups of samples, except for Helicobacteraceae which are absent in the SPF mice) identified in SPF and non-SPF samples. Pvalues have been calculated by DSEQ2 in Bioconductor. Families and phyla whose differences were statistically significant show a pvalue< 0,05.

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Available abstract

Differences between SPF and non-SPF mice at phylum and family level. Each line represents phylum (average greater than 100 ppm in at least one of the two groups of samples) or family (average above 100 ppm in both groups of samples, except for Helicobacteraceae which are absent in the SPF mice) identified in SPF and non-SPF samples. Pvalues have been calculated by DSEQ2 in Bioconductor. Families and phyla whose differences were statistically significant show a pvalue< 0,05.

Key concepts: Metagenomics, Shotgun, Shotgun sequencing, Computational biology, Biology, Pyrosequencing, DNA sequencing, Genetics

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Additional file 7 of A comprehensive approach for microbiota and health monitoring in mouse colonies using metagenomic shotgun sequencing — Research Paper | ScholarLens