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Pathway Tools
Allows management, analysis, simulation and visualization of integrated collections of genome, pathway and regulatory data. Pathway Tools is a bioinformatics software environment around a type of model-organism database called Pathway/Genome Database (PGDB). The software can manipulate genome data, metabolic networks and regulatory networks. For each datatype, it provides query, visualization, editing and analysis functions. It also provides visual tools for analysis of omics data sets, and tools for the analysis of biological networks.
Facilitates exploration of highly-connected and comprehensive human metabolic data and identification of metabolic subnetworks of interest. Recon2Neo4j provides two major components: i) a graph database for the human metabolism data and ii) a parser for translating the JSON representation into the SBML and SIF formats. Recon2Neo4j has been designed to offer a computational framework for exploring data from the Recon2 human metabolic reconstruction model. A powerful feature of the Recon2Neo4j is facilitating querying and exploration of integrated metabolic data, which adds to the functionality provided by other systems biology software, such as e.g. cySBML.
MARSI / Metabolite Analogues for Rational Strain Improvement
Creates strain design strategies using metabolite analogues (Mas). MARSI is composed of three parts: (i) marsi db, for constructing chemical analogues databases; (ii) marsi optimize, for computing knockout-based designs, knockout based and over- as well as down-regulated designs and; (iii) marsi chem for browsing into chemical analogues repositories. The application can also serve for designs implementation by allowing users to detect candidate Mas.
A comprehensive curated map of human metabolism presented utilizing the Google Maps application program interface (API) for highly responsive interactive navigation within a platform that facilitates queries and custom data visualization. Omics data and flux distributions resulting from simulations can be visualized in in a network context via an extension to the COBRA Toolbox. All users may post suggestions for refinement. Each suggestion is forwarded to virtual metabolic human (VMH) curators for consideration when planning further curation effort.
Combines ModelSEED’s ability to automatically reconstruct metabolic models with COBRApy’s advanced analysis capabilities to bridge the differences between the two frameworks and to facilitate the study of the metabolic potential of microorganisms. Mackinac allows the comprehensive storage of all the information associated with the models in the COBRA model object, and provides direct access to many of the functions available from this web service, such as functions to reconstruct, gap fill, and optimize genome-scale metabolic models (GEMs).
ASBIG / Autocatalytic Set-Based Identification of Gaps
Detects incomplete parts of network reconstructions based on the following approach: identifying elements (compounds) of catalytic cycles. ASBIG recognizes inconsistencies in existing genome-scale metabolic network reconstructions. This method facilitates network validation and automated gap detection in primary metabolism contributing considerably to the quality improvement of metabolic models. This tool combines conceptual approaches of autocatalytic metabolites and scope analysis.
RAVEN Toolbox / Reconstruction Analysis and Visualization of Metabolic Networks
Allows users to reconstruct, analyze, simulate and visualize genome-scale metabolic models (GEMs). The RAVEN Toolbox permits users to input GEM(s) for one or more template organisms, their corresponding protein sequences, and protein sequences of the target organism. A GEM for target organism is then constructed based on orthology between the protein sequences of target organism and the organisms of template models. This tool also contains a functionality that matches proteins to KEGG Orthology (KO) categories.
Reconstructs, curates and validates genome-scale metabolic models. Pantograph is a template base method and a toolbox developed to help users with reconstruction model. This software exploits existing well-curated metabolic models and carefully rewrites complex gene associations. Finally, it doesn’t require a good-quality annotation for the target organism in order to build a metabolic model. The orthology between template and target genomes is enough to produce a draft model.
merlin / metabolic models reconstruction using genome-scale information
Enables users to reconstruct genome-scale metabolic models for any organism that has its genome sequenced. merlin is composed of two main modules, (1) one developed specifically to help on the genome annotation stage with dedicated tools and graphical user interfaces (GUIs), and (2) the other oriented to the remaining stages. The software also provides tools for curating the model. Triage, a tool for identifying the metabolites transported by each transmembrane protein and its transporter family is included in merlin.
IdentiCS / Identification of Coding Sequences from Unfinished Genome Sequences
Associates the identification of coding data sequences (CDSs) with reconstruction, comparison and visualization of metabolic networks. IdentiCS permits users to realize reconstruction of the potential metabolic network from low coverage genome sequences of bacteria and prediction protein coding sequences. This method provides a solution to accelerate the utilization of genomic data for studying cellular metabolism.
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