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Computer vision and machine learning software library which provides a common infrastructure for computer vision applications. The algorithms within the library can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements and moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, and follow eye movements, recognize scenery and establish markers to overlay it with augmented reality. It has C++, C, Python, Java and MATLAB interfaces.
Probabilistic atlas of human white matter tracts/regions underlying several well-known resting state brain networks. The atlas includes group probability maps for each network, as well as each individual tract that are aligned to both the SPM and MRIStudio ICBM templates.
Collection of software tools for the computational analysis of brain anatomy with MRI data. It includes automated software tools from surface reconstruction to their mapping via metric optimization in the Laplace-Beltrami embedding space. It is general and can be applied to a wide range of anatomical structures including cortical, sub-cortical, and fiber bundle surfaces.
Data set of addiction studies compiled by the NeuroImaging and Analysis Group (NIAG).
Instrument and software tool used to visualize, trace, analyze, and process white matter fiber tracts of Diffusion Tensor Imaging (DTI) data in real-time. It supports pre-operative surgical planning, post-surgery evaluation, and general evaluation of fiber tracts around tumors and lesions in connection with functional areas.
Device for administering transcranial electrical stimulation. It has applications in cranial electrotherapy that provides a weak direct current for non-invasive Interventional Neurophysiology.
Software toolkit that provides several multi-modal tools to assess brain disconnections and remote effects of lesions. All modules are designed to process brain lesion data with a normalization algorithm, a module to estimate the probability and the severity of white matter disconnections, and a tool to build a map of the disconnected areas.
Real-time task-based and resting-state fMRI analysis software. This software is developed and distributed to researchers by NeurInsight LLC.
Patient database that contains EEG data sets, executable tasks, and computational tools., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Project to house templates used to build other projects. It is also known as the NeuroImaging and Analysis Group, which employs various physiological, functional and structural neuroimaging methodologies in both research and clinical domains.
Software tool used to generate a list of PubMed IDs to query and generate associations between publications. It utilizes a local SQLite cache in a configurable location to keep a local copy of relevant SRIDs, PMIDs, and the Abstract sections for the PMIDs.
MATLAB Toolbox which provides a mixed effect model for gene-environment interaction (MixGE) on neuroimaging phenotypes, such as structural volumes and tensor-based morphometry (TBM). This model incorporates both fixed and random effects of genetic-set and environment interaction in order to investigate homogeneous and heterogeneous contributions of sets of genetic variants and their interactions with environmental risks to phenotypes.
Software tool for making a BLAST database from various data structures. It maps large sets of next-generation RNA or DNA sequencing runs against a whole genome or transcriptome.
Consortium of clinical study data providers. Its aim is to help the data sharing community drive scientific progress and improve medical care by facilitating access to patient-level data from clinical studies.
Database for visualizing and making use of public ChIP-seq data. ChIP-Atlas covers almost all public ChIP-seq experiments and data submitted to the SRA (Sequence Read Archives) in NCBI, DDBJ, or ENA.
Gene prediction method that identifies potential coding regions based on the mapping of reads from an RNA-Seq experiment.
FaST-LMM (Factored Spectrally Transformed Linear Mixed Models) is a set of tools for efficiently performing genome-wide association studies (GWAS), prediction, and heritability estimation on large data sets.
Procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. The algorithm uses cyclical coordinate descent in a path-wise fashion.
Software that analyzes and estimates heritability. LDAK adjusts for linkage disequilibrium (LD) by calculating SNP weightings which downweight the contribution of SNPs in highly tagged regions.
Source code in Python for implementation of the warped linear mixed model. It automatically learns an optimal "warping function" (or transformation) for the phenotype as it models the data.