Update (06/23/2026): MFA Suite has new updates for: INCA, ETA and PIRAMID.   

The MFA Suite™ (Metabolic Flux Analysis Suite) is a software toolkit providing a powerful approach for quantifying the rates, or “fluxes”, of intracellular metabolic pathways.  The information generated from the MFA Suite of tools is useful for identifying pathway bottlenecks, elucidating network regulation, and quantifying the flow or fate of carbon within a biological system. By systematically accounting for all extracellular carbon inputs and outputs and all major intracellular pathways, MFA can be used to reconstruct comprehensive flux maps depicting cell metabolism.

Marker Enrichment Modeling (MEM) software is a quantitative system for objectively labeling and characterizing complex cell populations by quantifying feature enrichment and reporting a text label. MEM label reporting provides a new way to objectively and quantitatively communicate cell type in studies of complex, dynamic tissue microenvironments, such as stem cell niches, immune responses, and human tumors.

ReconFTI is a software that reconstructs functional tensor images from conventional functional magnetic resonance images. Reconstructed functional tensor images can be used to delineate functional pathways in the human brain. These functional pathways may help neuroscientists understand how different cortical regions of the human brain interact with each other.

This iBook gives a brief overview of what plagiarism might mean at Vanderbilt University based on cases that have been viewed as plagiarism. This iBook was created by the Vanderbilt University English Language Center (ELC) as part of our mission to address the professional, academic, and practical language needs of students who have a first language other than English. This iBook includes a test on recognizing instances of plagiarism and tips and advice on how to avoid plagiarism.

VANDPIRE is an intuitive and comprehensive software for quantifying cerebral blood flow (CBF) and calculating CBF territories based upon arterial spin labeling (ASL) MRI data. CBF analysis, particularly CBF territory analysis, is time-consuming and requires an advanced knowledge of scripting and up-to-date mathematical models. As a result, many researchers who are interested in performing such analyses are unable to do so.

The ARMS-D is a brief, easily administered, and validated patient survey to assess adherence to diabetes medications. It can detect non-adherence and specific reasons for non-adherence. Given the magnitude of the problem of non-adherence to diabetes medications, this instrument has application in research (observational and clinical trials) and clinical practice.

BCL::Commons™ (also known as the BioChemistry Library Project) is an object oriented C++ programming library. The library is designed to simulate biological molecules – proteins and peptides in particular – as well as small chemicals such as therapeutics. It comprises mathematical methods to evaluate the energy of these molecules in their natural environment.

TagDock is an efficient rigid body molecular docking algorithm that generates three-dimensional models of oligomeric biomolecular complexes in instances where there is limited experimental restraint data to guide the docking calculations. Through “distance difference analysis” TagDock additionally recommends followup experiments to further discriminate  divergent (score-degenerate) clusters of TagDock’s initial solution models.

The Molecular Image Fusion system is a software framework that can predict ion distributions in tissue. It accomplishes this by fusing data from two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information.