fischer-hub / metagenomics

Snakemake workflow for functional analysis of metagenomic WGS read data.
MIT License
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look for test data #13

Open fischer-hub opened 2 years ago

fischer-hub commented 2 years ago

Would be nice to have some test data that is not to big to reduce runtime but where we know what the expected result is. Even more important when it comes to the statistical analysis!!

fischer-hub commented 2 years ago

humann3.0 samples, these are relatively small and should contain genes to some degree since they are from the humann3.0 tutorial, however these are fasta files and i think they are preprocessed as well..

EDIT: also no biological/experimental replicates per sample, so no analysis with DESeq2/edgeR possible

fischer-hub commented 2 years ago

Intestinal response to prenatal inflammation (sus scrofa) 40 samples!! But theres also a text file containing the normalized counts so maybe a good catch!

Enhanced metabolic potentials and functional gene interactions of microbial stress response towards high elevation in freshwater lakes 6 samples per lake, 4 lakes, 2 HEL and 2 LEL -> 24 samples in total but small file size. Note that we dont need host sequence removal for this one.

fischer-hub commented 2 years ago

metagenomic wgs data from human urine samples, 10 samples with lots of metadata available, good for analysis

fischer-hub commented 2 years ago

The fecal microbiome and rotavirus vaccine immunogenicity in rural Zimbabwean infants

about 150 samples, WGS data, uses humann3, however only one contrast had significant results and MAaslin2 was only used for pathway abundance, gene abundance was tested with willcoxon test only

fischer-hub commented 2 years ago

The fecal microbiome and rotavirus vaccine immunogenicity in rural Zimbabwean infants

about 150 samples, WGS data, uses humann3, however only one contrast had significant results and MAaslin2 was only used for pathway abundance, gene abundance was tested with willcoxon test only

This is unpublished data.