GLAMM

GLAMM reconstructs metabolic networks from annotated genome data and maps experimental data onto biochemical pathways to support analysis and design of transgenic metabolic routes while leveraging comparative genomics from MicrobesOnline.

Key Features:

• Network reconstruction: Reconstructs metabolic networks directly from annotated genome data.
• Experimental data mapping: Maps experimental data onto existing metabolic networks for contextualized analysis of metabolic changes.
• Transgenic pathway design: Supports investigation and in silico construction of novel transgenic/metabolic pathways.
• Comparative genomics integration: Integrates with MicrobesOnline to leverage comparative genomic data for improved network reconstruction and analysis.

Scientific Applications:

• Metabolic engineering: Enables design and evaluation of engineered metabolic routes and transgenic pathways.
• Synthetic biology: Facilitates exploration and construction of novel biosynthetic pathways.
• Systems biology: Supports interpretation of genetic modifications and environmental effects on metabolism by mapping experimental data onto networks.
• Comparative microbial metabolism: Allows cross-species metabolic comparisons using MicrobesOnline comparative genomics data.

Methodology:

Reconstructs metabolic networks from annotated genome data; maps experimental data onto metabolic networks; enables in silico construction of transgenic pathways; and integrates comparative genomics data from MicrobesOnline for network reconstruction and analysis.