dailycafi
Community@dailycafi · San Francisco
Agent Skills by dailycafi
Showing 36 vetted skills indexed across 3 GitHub repositories.
bio-multi-omics-mofa-integration
Integrate multi-omics datasets with MOFA2 to discover shared and modality-specific latent factors.
bio-multi-omics-mgwas-integration
Link genetic variants to metabolite levels via GWAS, mQTL mapping, colocalization, and Mendelian randomization.
bio-multi-omics-mixomics-analysis
Integrate and classify multi-omics datasets with mixOmics supervised methods.
bio-multi-omics-microbiome-metabolomics
Integrate paired microbiome and metabolomics data to rank microbe-metabolite associations.
bio-multi-omics-similarity-network
Fuse multi-omics patient similarity networks with SNF and spectral clustering.
bio-multi-omics-data-harmonization
Harmonize multi-omics datasets with normalization, batch correction, and feature alignment.
metabolights-database
Search MetaboLights studies and retrieve ISA-Tab metadata via the EMBL-EBI REST API.
hmdb-database
Fetch HMDB metabolite records by accession via REST endpoints.
metabolomics-workbench-database
Query the Metabolomics Workbench REST API for metabolite records and study metadata.
ms-format-conversion
Convert vendor-specific mass spectrometry files to mzML and mzXML formats.
gcms-processing
Process GC-MS raw data into deconvolved spectra and library-matched compound annotations.
matchms
Match MS/MS spectra against reference libraries to identify compounds.
nmr-metabolomics
Process NMR metabolomics data from raw FID to quantified metabolites.
pyopenms
Process LC-MS mzML datasets for peak picking, feature detection, and format conversion.
bio-ms-data-processing-spatial-metabolomics
Analyze spatial metabolomics imzML files to generate ion images and segment tissue.
cobrapy
Perform constraint-based metabolic simulations on genome-scale models with cobrapy.
bio-metabolomics-lipidomics
Annotate and quantify lipid species from lipidomics datasets for class- and chain-level analysis.
bio-metabolomics-analysis-pharmacometabolomics
Identify drug-induced metabolite changes and predict metabolic pathways from LC-MS datasets.
bio-metabolomics-xcms-preprocessing
Process LC-MS data into a feature table using XCMS preprocessing.
bio-metabolomics-pathway-mapping
Map metabolites to KEGG, Reactome, and SMPDB pathways with enrichment and topology analysis.
bio-metabolomics-clinical-reporting
Interprets clinical metabolomics panels into clinician-ready reports using Python and pandas.
bio-metabolomics-normalization-qc
Normalize metabolomics feature tables with QC-RSC, TIC, PQN, and ComBat.
bio-metabolomics-statistical-analysis
Analyzes metabolomics feature tables to identify differentially abundant metabolites with fold changes and adjusted p-values.
bio-metabolomics-targeted-analysis
Convert MRM/SRM peak areas into absolute metabolite concentrations with calibration curves.