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http://www.nitrc.org/projects/gcva_pca/

A platform for any Principal Component Analysis (PCA)-based analysis on functional neuroimaging data (PET and fMRI). Includes: * Ordinal Trend Canonical Variance Analysis for parametric designs (C. Habeck et al. A New Approach to Spatial Covariance Modeling of Functional Brain Imaging Data: Ordinal Trend Analysis. Neural Computation 2005; 17: 1602-1645) * Partial Least Squares for any design matrix * Subprofile Scaling Model for cross-sectional designs (JR. Moeller, Strother SC. A regional covariance approach to the analysis of functional patterns in positron emission tomographic data.J Cereb Blood Flow Metab. 1991 Mar;11(2):A121-35.)

Proper citation: Generalized Covariance Analysis (RRID:SCR_009488) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/gamma_suite/

GAMMA suite is an open-source cross-platform data mining software package designed to analyze neuroimaging data. A neuroimaging study often focuses on biomarker detection and classification. We designed and implemented a Bayesian, multivariate, nonparametric suite of algorithms for analyzing neuroimaging data. The GAMMA suite can be used for brain morphometric analysis, lesion-deficit analysis, and functional MR data analysis.

Proper citation: GAMMA (RRID:SCR_009484) Copy   

•   Source: SciCrunch Registry

http://nice.org.uk/

An international team that works on a fee-for-service basis with policy makers and clinicians around the world to promote evidence-based decision making in healthcare.

Proper citation: National Institute for Health and Care Excellence (RRID:SCR_012957) Copy   

•   Source: SciCrunch Registry

http://www.ornl.gov/

A multiprogram science and technology laboratory managed for the U.S. Department of Energy by UT-Battelle, LLC, to deliver scientific discoveries and technical breakthroughs that will accelerate the development and deployment of solutions in clean energy and global security, and in doing so create economic opportunity for the nation. Scientists and engineers at ORNL conduct basic and applied research and development to create scientific knowledge and technological solutions that increase the availability of clean, abundant energy and restore and protect the environment; and contribute to national security. ORNL also performs other work for the Department of Energy, including isotope production, information management, and technical program management, and provides research and technical assistance to other organizations.

Proper citation: Oak Ridge National Laboratory (RRID:SCR_011475) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/autoseg/

A novel C++ based application developped at UNC-Chapel Hill that performs automatic brain tissue classification and structural segmentation. AutoSeg is designed for use with human and non-human primate pediatric, adolescent and adult data. AutoSeg uses a BatchMake pipeline script that includes the main steps of the framework entailing N4 bias field correction, rigid registration to a common coordinate image, tissue segmentation, skull-stripping, intensity rescaling, atlas-based registration, subcortical segmentation and lobar parcellation, regional cortical thickness and intensity statistics. AutoSeg allows efficient batch processing and grid computing to process large datasets and provides quality control visualizations via Slicer3 MRML scenes.

Proper citation: AutoSeg (RRID:SCR_009438) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bxh_xcede_tools/

A collection of data processing and image analysis tools for data in BXH or XCEDE format. This includes data format encapsulation/conversion, event-related analysis, QA tools, and more. These tools form the basis of the fBIRN QA procedures and are also distributed as part of the fBIRN Data Upload Scripts.

Proper citation: BXH/XCEDE Tools (RRID:SCR_009439) Copy   

•   Source: SciCrunch Registry

http://www.cienciasecognicao.org

Portal for scientific dissemination, teaching and interdisciplinary research that includes the integration of the sciences of mind, brain and education in Brazil. The contents are in Portuguese. English version coming soon.

Proper citation: Science and Cognition Organization (RRID:SCR_009436) Copy   

•   Source: SciCrunch Registry

http://dsi-studio.labsolver.org

A software for diffusion MR images analysis. The provided functions include reconstruction (DTI, QBI, DSI, and GQI), deterministic fiber tracking, and 3D visualization. It has a window-based interface and operates on Microsoft Windows system.

Proper citation: DSI Studio (RRID:SCR_009557) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/cmrep/

A set of deformable modeling algorithms for shape analysis and structure-specific normalization. Applications of cm-reps include structure-specific fMRI analysis, DTI analysis, and structural brain mor

Proper citation: cmrep (RRID:SCR_009434) Copy   

•   Source: SciCrunch Registry

http://workspace.earthcube.org/bcube

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 17,2023. Project that brings together an internationally recognized team of geo- and social-scientists, cyberinfrastructure experts and educators to explore how expert systems can mediate interactions and improve access between scientific fields. To address complex Earth system issues such as climate change and water resources, geoscientists must work across disciplinary boundaries, which requires them to access data outside of their fields. The initial focus is on hydrology, oceans, polar and weather, with the intent to make the technology applicable and available to all the geosciences. The team''s social scientists and educators will research how technology can improve knowledge exchange between scientific communities.

Proper citation: BCube A Broker Framework for Next Generation Geoscience (RRID:SCR_012765) Copy   

•   Source: SciCrunch Registry

http://rfmri.org/dpabi

Software toolbox for data processing and analysis of brain imaging, evolved from DPARSF (Data Processing Assistant for Resting-State fMRI).

Proper citation: DPABI (RRID:SCR_010501) Copy   

•   Source: SciCrunch Registry

http://www.biobancusa.com/

BioBancUSA is a leading biotechnology company specializing in white blood cell collection, processing, cryopreservation and storage service. BioBancUSA, a private company headquartered in Monterey, California, is the exclusive licensee of the original patent for the collection, processing and cryopreservation technology of white blood cells, giving you the assurance of both technical integrity and legal legitimacy that you can count on. BioBancUSA is dedicated to providing our clients with the highest quality immune cell preservation for their future medical use. We are committed to the most advanced technology, exceptional, personalized service and leading-edge innovation to benefit our customers, health care providers, shareholders and employees.

Proper citation: Biobanc USA (RRID:SCR_010622) Copy   

•   Source: SciCrunch Registry

http://www.rucdr.org/

RUCDR is a biobank and a service organization that maintains human blood, serum, saliva, tissue and the genetic products derived from those. Services include technical consultation and logistical support for biobanking. Researchers can order biomaterials and apply for phenotypic / genotypic data.

Proper citation: Rutgers Cell and DNA Repository (RRID:SCR_010624) Copy   

•   Source: SciCrunch Registry

https://brainslices.org/

BrainSlices is a repository of annotated high-resolution images of brain tissue.

Proper citation: BrainSlices (RRID:SCR_010504) Copy   

•   Source: SciCrunch Registry

http://www.ntnu.edu/hunt

International biobank storing whole blood and DNA from 200,000 individuals, serum and plasma samples from more than 100,000 individuals as well as urine, RNA tubes, cells, buffy coat and Na-heparin tubes for environmental analysis for as many as 50,000 individuals. All bio-specimens from the HUNT surveys are collected, processed and stored at the HUNT Biobank in Levanger. The National CONOR Biobank is located on the same site, where it serves as a central research repository for DNA samples from all the largest Norwegian health surveys. These make up the Cohorts of Norway (CONOR), which include samples from more than 200,000 individuals. * HUNT 1 was carried out in 1984-1986 to establish the health history of 75,000 people. * HUNT 2, carried out in 1995-1997, focused on the evolution of the health history of 74,000 people. This included blood sample collection from 65,000 people. The data that accompany biospecimens in the biobank are stored in secured computer systems that run complex database management and analysis software. * HUNT 3 was completed in June 2008. 93,210 people were invited to participate in the study, and as of the 6th of June, 2008, 48,289 people participated (52% participation rate). The data, collected by means of questionnaires, interviews, clinical examinations and collection of blood and urine samples, will be ready for analysis in January 2009. * Young-HUNT is the adolescent part of HUNT including participants aged 13-19 years. Young-HUNT1 (1995-97) was conducted as part of HUNT2, 9141 adolescents participated (90% response rate). Young-HUNT2 (2000-01) was a follow-up study of Young-HUNT1, 2400 students participated in both studies (77% of the invited). Young-HUNT3 (2006-08) was a new cross-sectional study as part of HUNT3. This time 8677 adolescents participated (87% response rate). Data collection included self-reported questionnaires, structured interviews, clinical measurements and, in Young-HUNT3, buccal smears. All institutions with research expertise can apply for access to analyze HUNT data. Projects must have recommendations from The Regional Committee for Medical Research in Norway (REK) and be registered with The Norwegian Social Science Data Services (NSD).

Proper citation: Hunt Biobank (RRID:SCR_010626) Copy   

•   Source: SciCrunch Registry

http://mayoresearch.mayo.edu/mitochondrial-disease-biobank/

A biobank of blood and tissue samples from patients with known and suspected mitochondrial diseases along with data from their families. Samples are used in research to understand the family of mitochondrial disorders such as Alpers' syndrome, encephalopathy, and Friedrieich's ataxia, among many others. The goal of the biobank is to advance the understanding of mitochondrial disease and improve patient care.

Proper citation: Mayo Mitochondrial Disease Biobank (RRID:SCR_010598) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/erppcatoolkit/

This Matlab toolkit is a general purpose tool for editing, visualizing, and analyzing EEG data (both Event Related Potential - ERP and spectral) whose most recent version has been downloaded over 1000 times. Its three chief highlights are: 1) an optimized automatic artifact correction function that includes ICA correction for eye blinks and saccades. 2) Extensive support for easily conducting PCA and ICA through all stages of the procedure, including inspection of reconstituted waveforms and batch ANOVAs. 3) Implementation of robust ANOVAs, including McCarthy-Wood vector test. It has a graphical user interface for point and click usage and comes with an extensive illustrated tutorial. A description of the toolkit was published in Dien (2010) in Journal of Neuroscience Methods. It relies on both internal functions as well as borrowed functions from both EEGlab and FieldTrip.

Proper citation: ERP PCA Toolkit (RRID:SCR_013105) Copy   

•   Source: SciCrunch Registry

https://research.miami.edu/about/labs-facilities/index.html

Number of core facilities and shared resources developed at University of Miami are available to researchers and trainees. These resources allow centralized access to specialized equipment and services, providing cutting edge technologies, reagents, and special products needed to conduct high quality, interdisciplinary research in cost effective way.

Proper citation: University of Miami Labs and Facilities (RRID:SCR_010996) Copy   

•   Source: SciCrunch Registry

http://www.ncbcs.org/

The NCBCs are a set of networked computation core facilities for biomedical infrastructure funded under the NIH Common Fund, the National Program of Excellence in Biomedical Computing (NPEBC). There are seven funded Centers that cover systems biology, image processing, biophysical modeling, biomedical ontologies, information integration, and tools for gene-phenotype and disease analysis. The centers will create innovative software programs and other tools that enable the biomedical community to integrate, analyze, model, simulate, and share data on human health and disease. Each Center has Cores that are focused on (1) computational science, (2) biomedical computational science and (3) driving biological projects whose intent is to drive the interaction between computational and biomedical computational science. In addition to the Centers, the NIH has a number of active program announcements to develop collaborations with the biomedical research community��this includes announcements from the Biomedical Information Science and Technology Initiative (BISTI) and the Program for Collaborations with National Centers for Biomedical Computing. There are numerous efforts in education and training that emanate from the Centers and there is an annual all hands meeting.

Proper citation: National Centers for Biomedical Computing (RRID:SCR_010635) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gsa-snp/

A tool for the gene-set (or pathway) analysis of a genome-wide association study result. It accepts a genome-wide list of SNPs and their association P-values. It summarizes the SNP P-values into nearby genes. The gene-by-gene summary results are then further summarized by gene-sets such as Gene Ontology, KEGG pathways, or user-created gene-sets. Various standardization and statistical tests can be performed and the resulting gene-sets that pass a significance level after multiple-testing correction are reported. The tool is written in Java and is available as a standalone version.

Proper citation: GSA-SNP (RRID:SCR_013109) Copy   

•   Source: SciCrunch Registry