prepBioCyc: Preprocess BioCyc files
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Updated
Apr 27, 2022 - Python
prepBioCyc: Preprocess BioCyc files
Serves as the backend code for https://www.curatemetabolicpathways.com
streamlit application for metabolic json from BIGG modelling database.
a slint interface to the BIGG modeler database establishing all the links to the metanextx
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.
leADS: improved metabolic pathway inference based on active dataset subsampling
Metabolic pathway inference using non-negative matrix factorization with community detection
Web application of metabolics pathway visualisation, for the Gencovery business (https://gencovery.com/), created during the PDP project during the M1 of the Master of Bioinformatics, in Bordeaux.
CHAP: Modeling Metabolic Pathways as Groups (with Augmentation)
julia matlabanalyzer to analyze the BIGG metabolic matrix
MNXref: Reconciliation of metabolites and biochemical reactions for metabolic networks
reMap: relabeling metabolic pathway data with groups to improve prediction outcomes
A basic network of human metabolism, including key enzymes, intermediates, and hormonal influences
PathVisio plugin to find relevant metabolic reactions from Rhea
Pipeline plugins for PALADIN, providing HPC support, abundance (taxonomy, go terms), customized reports, etc
Library to perform metabolic engineering tasks
Diversity-based enumeration of optimal context-specific metabolic networks
Identifying reprogrammed metabolic routes given omics data.
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