Informed prediction and analysis of bacterial metabolic pathways and genome-scale networks
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Updated
Dec 5, 2024 - R
Informed prediction and analysis of bacterial metabolic pathways and genome-scale networks
A tool for representing genomic potential and transcriptomic expression into KEGG pathways
Infer metabolic directions from moment differences of mass-weighted intensity distributions
Go REST API to replace Genbank, Uniprot, Rhea, and CHEMBL
Toolkit for Modelling and Simulation of Gene Expressions and Metabolism
Identifying reprogrammed metabolic routes given omics data.
Diversity-based enumeration of optimal context-specific metabolic networks
Library to perform metabolic engineering tasks
scCellFie offers advanced analysis of metabolic functions from single-cell and spatial transcriptomics. Efficient and user-friendly, it runs on Python and integrates with Scanpy, enabling single-cell and spatial analysis of metabolic tasks.
Pipeline plugins for PALADIN, providing HPC support, abundance (taxonomy, go terms), customized reports, etc
reMap: relabeling metabolic pathway data with groups to improve prediction outcomes
A basic network of human metabolism, including key enzymes, intermediates, and hormonal influences
🤝 Tool for generating KEGG pathways completeness heatmaps from eggNOG-mapper annotations
MNXref: Reconciliation of metabolites and biochemical reactions for metabolic networks
PathVisio plugin to find relevant metabolic reactions from Rhea
prepBioCyc: Preprocess BioCyc files
Serves as the backend code for https://www.curatemetabolicpathways.com
leADS: improved metabolic pathway inference based on active dataset subsampling
Metabolic pathway inference using non-negative matrix factorization with community detection
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