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Data analysis pipeline for investigating drug-host-microbiome relationships in cardiometabolic disease (MetaCardis cohort).

Authors: Forslund, Sofia K.; Chakaroun, Rima; Zimmermann-Kogadeeva, Maria; Markó, Lajos; Aron-Wisnewsky, Judith; Nielsen, Trine; Birkner, TIll;

Data analysis pipeline for investigating drug-host-microbiome relationships in cardiometabolic disease (MetaCardis cohort).

Abstract

******************************************************************* MetaDrugs workflow ******************************************************************* Data analysis pipeline for investigating drug-host-microbiome relationships in cardiometabolic disease (MetaCardis cohort). For questions and requests, please contact: Sofia K. Forslund (sofia.forslund@mdc-berlin.de) and Till Birkner (till.birkner@mdc-berlin.de) ******************************************************************* Contents: ------------------------------------------------------------------- Data files: metadata.tar.gz - archived cohort metadata files* input_features.tar.gz - archived preprocessed serum and urine metabolome and gut microbiome features output_complete.tar.gz - archived example analysis output files for each of the input feature file output_rerun.tar.gz - archived empty directory for generating test output files as described in this document *Please note: Due to conflicts with Danish Data Protection laws, metadata from the Danish subset of the cohort were removed in this repository. Please reach out for a potential case-by-case access request for access to the complete set of metadata. ------------------------------------------------------------------- Text files: archived in feature_names.tar.gz: atcs_names - full names for atcs drug compounds contrast_names - full names for disease comparison groups file_names - brief description of the files in input_features folder gmm_names - full names of GMM modules kegg_names - full names of KEGG modules ko_names - full names of KO modules metadata_names - full names of metadata features mOTU_names - species names for metagenomics data taxon_names - taxon names for metagenomics data ------------------------------------------------------------------- Scripts: ------------------------------------------------------------------- runFrame.r - main wrapper script envoking the analysis pipeline ------------------------------------------------------------------- runFrame_rel_comb.r - script calculating drug combination effects runFrame_rel.r - script calculating dosage effects testCombPresenceSeparate.r - testing of significant drug combination effects beyond single drug effects testDosagePresenceSeparate.pl - testing of significant drug dosage effects beyond single drug effects testDosagePresenceSeparateNegative.pl - testing of unique drug dosage effects beyond single drug effects ------------------------------------------------------------------- prettifyResults_uncollapsed.pl - wrapper scripts to create and format a single analysis output file makeTables.r - wrapper script to make excel tables with analysis results ------------------------------------------------------------------- Example output file: ------------------------------------------------------------------- output_all_formatted_noc_uncollapsed_complete.tsv - contains all disease-drug-host-microbiome feature analysis results in one place. *******************************************************************

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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