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MMUPHin is a Bioconductor package implementing meta-analysis methods for microbial community profiles. It has interfaces for: a) covariate-controlled batch and study effect adjustment, b) meta-analytic differential abundance testing, and meta-analytic discovery of c) discrete (cluster-based) or d) continuous unsupervised population structure.
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Overall, MMUPHin enables the normalization and combination of multiple microbial community studies. It can then help in identifying microbes, genes, or pathways that are differential with respect to combined phenotypes. Finally, it can find clusters or gradients of sample types that reproduce consistently among studies
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MMUPHin is a Bioconductor package implementing meta-analysis methods for microbial community profiles. It has interfaces for
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a) covariate-controlled batch and study effect adjustment,
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b) meta-analytic differential abundance testing, and
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c) meta-analytic discovery of discrete (cluster-based) or
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d) continuous unsupervised population structure.
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Overall, MMUPHin enables the normalization and combination of multiple microbial community studies. It can then help in identifying microbes, genes, or pathways that are differential with respect to combined phenotypes.
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Finally, it can find clusters or gradients of sample types that reproduce consistently among studies
description_template: "Wrapper for the mmuphin function: {{ tool_name }}"
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suite:
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name: "suite_mmuphin"
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description: "A suite of tools that brings the mmuphin project into Galaxy.""
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long_description: |
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MMUPHin is a Bioconductor package implementing meta-analysis methods for microbial community profiles. It has interfaces for: a) covariate-controlled batch and study effect adjustment, b) meta-analytic differential abundance testing, and meta-analytic discovery of c) discrete (cluster-based) or d) continuous unsupervised population structure.
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Overall, MMUPHin enables the normalization and combination of multiple microbial community studies. It can then help in identifying microbes, genes, or pathways that are differential with respect to combined phenotypes. Finally, it can find clusters or gradients of sample types that reproduce consistently among studies
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description_template: "Wrapper for the mmuphin adjust_batch function: {{ tool_name }}"
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