X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Search Again

We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms

Showing 20 out of 28,725 Resources on page 1312

Normative Independent Component Analysis

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13, 2026. Software program, executable under any Windows32 OS, performs Group BSS (Blind Source Separation) analysis comparing two groups of individuals and it performs NICA (Normative ICA) analysis where individuals are compared individually to a (normative) group. All analysis is performed in the frequency domain, that is, for all frequencies. The program also performs all these analysis for qEEG, that is, at the electrode level, without any BSS. The program does all computations, saves and displays results. The rationale and methods used in this program are explained in all details in the following paper: Congedo M, John ER, De Ridder D, Prichep L (2010) Group Independent Component Analysis of Resting-State EEG in Large Normative Samples International Journal of Psychophysiology 78, 89-99.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

Non-Rigid Image Registration Evaluation Project

Project to develop software tools and provide shared image validation databases for rigorous testing of non-rigid image registration algorithms. NIREP will extend the scope of prior validation projects by developing evaluation criteria and metrics using large image populations, using richly annotated image databases, using computer simulated data, and increasing the number and types of evaluation criteria. The goal of this project is to establish, maintain, and endorse a standardized set of relevant benchmarks and metrics for performance evaluation of nonrigid image registration algorithms. Furthermore, these standards will be incorporated into an exportable computer program to automatically evaluate the registration accuracy of nonrigid image registration algorithms.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

Nitime

Software library for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

Nirfast

Software package for modeling Near-Infrared light transport in tissue and image reconstruction. This includes: Standard single wavelength absorption and reduced scatter, Multi-wavelength spectrally constrained models and Fluorescence models.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

Nipype

A package for writing fMRI analysis pipelines and interfacing with external analysis packages (SPM, FSL, AFNI). Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface. Nipype, an open-source, community-developed initiative under the umbrella of Nipy, is a Python project that solves these issues by providing a uniform interface to existing neuroimaging software and by facilitating interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages (e.g., SPM, FSL), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

AQnowledge Bookmarklet

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13, 2026. Bookmarklet suitable for all main browsers, that, when invoked, highlights concepts of scientific significance in text and offers links to many open information resources about any concept highlighted.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

pymzML

Python module to parse mzML data in Python based on cElementTree. It is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data and (iii) a set of functions to compare or handle spectra., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

  • Resource
  • SciCrunch
  • 12 years ago - by Anonymous

NiftyRec

Software toolbox that includes reconstruction tools for emission and transmission imaging modalities, including Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), cone-beam X-Ray CT and parallel-beam X-Ray CT. At the core of NiftyRec are efficient, GPU accelerated, projection, back-projection and iterative reconstruction algorithms. The easy to use Matlab and Python interfaces of NiftyRec enable fast prototyping and development of reconstruction algorithms. NiftyRec includes standard iterative reconstruction algorithms such as Maximum Likelihood Expectation Maximisation (MLEM), Ordered Subsets Expectation Maximisation (OSEM) and One Step Late Maximum A Posteriori Expectation Maximisation (OSL-MAPEM), for multiple imaging modalities.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NiBabel

A Python package for reading and writing a variety of medical and neuroimaging file formats. This includes: ANALYZE (plain, SPM99, SPM2), NIfTI1, as well as MINC. NiBabel is the successor of PyNIfTI.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NeuroImaging Analysis Kit (NIAK)

Software library of modules and pipelines for fMRI processing with Octave or Matlab(r) that can run in parallel either locally or in a supercomputing environment. Linux OS and MINC file format are supported. NIAK currently includes a preprocessing, a region growing and a connectome pipelines. NIAK features powerful pipeline management capabilities, including parallel computing, generation of detailed logs and automatic handling of pipeline failures or updates.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NPTK

Non-rigid registration / distortion correction tools for enhanced functional localization through the registration of EPI fMRI to high-resolution anatomical MRI.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NITRC GForge Extensions

Software repository of custom extensions to the GForge collaborative environment.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NITRC Enhanced Services

Support and community integration for the enhanced NITRC services of the Image Repository (IR) and the Computational Environment (CE). The NITRC Computational Environment, an on-demand, cloud based computational virtual machine pre-installed with popular NITRC neuroimaging tools built using NeuroDebian. NITRC Image Repository is built upon XNAT and supports both NIfTI and DICOM images. The NITRC-IR offers 3,733 Subjects, and 3,743 Imaging Sessions searchable across seven projects to promote re-use and integration of valuable NIH-funded data.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

realSFS

Software program used to estimate allele frequency and SNP calling., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NIRx2nirs: A NIRx to .nirs data converter

A matlab script which takes near-infrared spectroscopy data recorded by NIRx system(s) and converts it to a .nirs file format for use with the HOMER2 NIRS processing pacakge.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NIRx NIRS Neuroimaging

Commercial technology solutions for NIRS neuroscience imaging applications.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NIRAL Utilities

Open-source utilities that are C++ based command line applications that allow image analysis and processing using ITK or VTK libraries. Specifically the following utilities are contained thus far: * ImageMath - the swiss army knife image modification * ImageStat - compute stats on images * IntensityRescaler - rescale/normalize intensities using a prior brain tissue segmentation * convertITKformats - convert 3D images in all ITK formats (NRRD, NIFTI, GIPL, Meta etc) * DWI_NiftiNrrdConversion - convert DWI and DTI from/to NRRD and NIFTI, works with UNC DTI tools and FSL * CropTools - crops 3D and 4D images * PolydataMerge - Merges VTK polydata files * PolydataTransform - Transforms polydata files * TransformDeformationField - concatenates or average deformation fields (H-fields or displacement fields) * DTIAtlasBuilder - Creates a DTI average from multiple DTI images

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NIPY

A complete Python environment for the analysis of structural and functional neuroimaging data. It currently has a full system for general linear modeling of functional magnetic resonance imaging (fMRI).

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

NIDB - Neuroinformatics Database

Neuroimaging database designed to allow simple importing, searching, and sharing of imaging data. NIDB also provides automated pipelining with importing of results back into NIDB which can be searched along with imaging meta data.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

ENZYME

A repository of information relative to the nomenclature of enzymes. It is primarily based on the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (IUBMB) and it describes each type of characterized enzyme for which an EC (Enzyme Commission) number has been provided. These include * EC number * Recommended name * Alternative names (if any) * Catalytic activity * Cofactors (if any) * Pointers to the Swiss-Prot protein sequence entry(ies) that correspond to the enzyme (if any) * Pointers to human disease(s) associated with a deficiency of the enzyme (if any) We believe that the ENZYME database can be useful to anybody working with enzymes and that it can be of help in the development of computer programs involved with the manipulation of metabolic pathways. Available services include downloading ENZYME by FTP as well as report forms for a new ENZYME entry or for an error/update in an existing entry.

  • Resource
  • SciCrunch
  • 17 years ago - by Anonymous