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
Infer metabolic directions from moment differences of mass-weighted intensity distributions
A tool for representing genomic potential and transcriptomic expression into KEGG pathways
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.
Library to perform metabolic engineering tasks
Diversity-based enumeration of optimal context-specific metabolic networks
Pipeline plugins for PALADIN, providing HPC support, abundance (taxonomy, go terms), customized reports, etc
scCellFie, inspired by the MATLAB-based CellFie tool, offers advanced analysis of metabolic functions on Python using single-cell and spatial transcriptomics. Efficient and user-friendly, it integrates with Scanpy to extend CellFie's capabilities, enabling in-depth single-cell and spatial metabolic task analysis.
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
Serves as the backend code for https://www.curatemetabolicpathways.com
prepBioCyc: Preprocess BioCyc files
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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