Tools   Select Another Resource Report Type

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

These are the scripts used for the analyses reported in: Craddock RC, Holtzheimer PE, 3rd, Hu XP, Mayberg HS. (2009): Disease state prediction from resting state functional connectivity. Magn Reson Med 62(6):1619-28. Specifically included are scripts for performing t-test filter, reliability filter, recursive feature elimination, and reliability recursive feature elimination feature selection methods. These make use of wrappers that perform .632 bootstrap and k-fold cross validation strategies. The scripts are written in matlab and require the Bioinformatics toolbox. If you do not have the bioinformatics toolbox, the scripts can be easily modified to run with other matlab SVM toolboxes (i.e., libsvm, svmlight, shogun, etc.).

Proper citation: Disease State Prediction (RRID:SCR_009467) Copy   

•   Source: SciCrunch Registry

http://www.nmr.mgh.harvard.edu/DOT/resources/homer2/home.htm

Software matlab scripts used for analyzing fNIRS data to obtain estimates and maps of brain activation. Graphical user interface (GUI) for visualization and analysis of functional near-infrared spectroscopy (fNIRS) data.

Proper citation: Homer2 (RRID:SCR_009586) Copy   

•   Source: SciCrunch Registry

http://www.iit.edu/~mri/

Atlas that contains new anatomical, DTI, HARDI templates and probabilistic gray matter labels of the adult human brain in ICBM-152 space. Artifact-free MRI data from 72 human subjects was used in the development of the atlas. All diffusion MRI data collection was conducted using Turboprop, and spatial normalization was accomplished in a population-based fashion. A description of the contents of the atlas can be found in the Downloads link. NOTE: The files of the older IIT2 DTI Brain Template are still available. However, the new DTI template of the IIT Human Brain Atlas (v.3) is of superior quality and allows more accurate registration across subjects.

Proper citation: IIT Human Brain Atlas (RRID:SCR_009587) Copy   

•   Source: SciCrunch Registry

http://hermes.ctb.upm.es/

A toolbox for the Matlab environment designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. This toolbox may be very helpful to all the researchers working in the emerging field of brain connectivity analysis.

Proper citation: HERMES (RRID:SCR_009584) Copy   

•   Source: SciCrunch Registry

https://www.unr.edu/ncar/infrastructure

Nevada Center for Applied Research coordinates access to Shared Research Facilities extensive resource of labs with cutting edge research and development equipment available to internal University community and external clients from industry, government, research organizations and other institutions.In addition to services and instrumentation, we offer support from highly experienced staff with expertise in designing and conducting experiments and analyzing data. Many facilities can also provide training and education upon request.

Proper citation: University of Nevada Reno Labs and Facilities (RRID:SCR_011008) Copy   

•   Source: SciCrunch Registry

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

This is a command line tool which allows the user to study the behavior of water diffusion (using DTI data) along the length of the white matter fiber-tracts. Various tract-oriented scalar diffusion measures obtained from DTI brain images, are treated as a continuous function of white matter fibers'' arc-length. To analyze the trend along a given fiber tract, a command line tool performs kernel regression on this data. The idea is to try out different noise models and maximum likelihood estimates within kernel windows (along the tract), such that they best represent the data and are robust to noise and Partial Volume effect. The package contains several command line based modules and an GUI based tool called DTIAtlasFiberAnalyzer to access most functions. The features available in the tool currently, its use and input / output formats and other relevant details are provided in the first draft of the documentation. (http://www.na-mic.org/Wiki/index.php/Projects:dtistatisticsfibers).

Proper citation: DTI Fiber Tract Statistics (RRID:SCR_009460) Copy   

•   Source: SciCrunch Registry

http://narayanahospitals.com/cellsofhope/

Narayana Hrudayalaya Tissue Bank and Stem Cell Research Center (NHTB-SCRC) is a joint venture between Rotary Bangalore Health City (RBHC) and Narayana Hrudayalaya. Our mission is to create awareness on Cord Blood Banking among the masses. Our vision is to make sure that every pregnant mother in India is able to afford to bank her child''s cord blood and cord tissue in a novel form of ������??Biological Insurance������??. The center would also assist in research and development of newer stem cell therapies. These goals are met while ensuring patient safety and well being by maintaining compliance with ICMR guidelines, Good Manufacturing Practice (GMP) guidelines, strict confidentiality and adherence to ethical standards. The private cord blood bank would store cord-blood and cord tissue derived stem cells for the exclusive use of clients who would pay for the cryo-storage, for a period of 21 years. These samples would be used for the child or its siblings anytime in the future, for therapy of various medical conditions. The public cord blood bank would enable us to collect cord blood from delivery and birthing centers, process these specimens, type their HLA signature and store them in ultra-low temperature conditions for use on prospective recipients. These recipients would have to be matched against their HLA signature with the stored stem cell concentrate. Patients with a disease treatable by stem cell therapy would have to have their HLA type known and they approach us for treatment. Such patients would be matched against our library of samples to identify a suitable match which would then be issued at a nominal cost. The cost of therapy would however be separate and informed to the patient before embarking on the treatment.

Proper citation: Narayana Hrudayalaya Tissue Bank and Stem Cell Research Center (RRID:SCR_010680) Copy   

•   Source: SciCrunch Registry

http://www.equator-network.org/

The EQUATOR Network is an international initiative that seeks to enhance reliability and value of medical research literature by promoting transparent and accurate reporting of research studies. This goal will be achieved through: raising awareness of the crucial importance of good reporting of research becoming the recognised global centre providing resources, education and training relating to the reporting of health research and use of reporting guidelines assisting in the development, dissemination and implementation of reporting guidelines monitoring the status of the quality of reporting across health research literature conducting research relating to the quality of reporting The EQUATOR Network Resource Centre provides up-to-date resources related to health research reporting mainly for: authors of research articles journal editors and peer reviewers reporting guideline developers Other users that benefit from the knowledge of principles of good research reporting include representatives of research funders, research ethics committee members, individuals and organisations involved in research education. The resources on our website are regularly updated (see the date of the last update at the foot of each page). Sponsor. Core programme funding for 2007 - 2013 NHS National Library for Health NHS National Institute for Health Research NHS National Knowledge Service UK Medical Research Council Canadian Institutes of Health Research Scottish Chief Scientist Office Pan American Health Organization

Proper citation: EQUATOR Network (RRID:SCR_012861) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/inia19/

Primate brain atlas created from over 100 structural MR scans of 19 rhesus macaque animals. The atlas currently comprises high-resolution T1-weighted average MR images with and without skull stripping, tissue probability maps, and a detailed parcellation map based on the NeuroMaps atlas.

Proper citation: INIA19 Primate Brain Atlas (RRID:SCR_009498) Copy   

•   Source: SciCrunch Registry

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

A set of MATLAB scripts for analysis of networks derived from neuroimaging data. Some of these scripts are entirely original, while some are adapted (or just copied) from the Brain Connectivity Toolbox (https://sites.google.com/a/brain-connectivity-toolbox.net/bct) The source code is available via git: git clone ssh://user

Proper citation: Graphtools (RRID:SCR_009490) Copy   

•   Source: SciCrunch Registry

https://www.anl.gov/research-facilities

Argonne National Laboratory, located just outside of Chicago, is one of the U.S. Department of Energy''s largest national laboratories for scientific and engineering research to solve most important challenges in energy, environment and national security. Programmatic activities cover all aspects of innovation ecology including basic research, technology development and prototype development and testing. We regularly work with industry through exclusive licensing, joint research and variety of other mechanisms to transfer our inventions to marketplace.

Proper citation: Argonne National Laboratory Labs and Facilities (RRID:SCR_011062) Copy   

•   Source: SciCrunch Registry

http://www.ra-map.com/p/about-project.html

RA MAP is a public-private collaborative project into early Rheumatoid Arthritis (RA). Our goal is to: identify the key predictors of clinical response and remission in RA patients, and identify those individuals at high risk of developing RA. By understanding the human immune system in RA through the study of biological samples from RA patients we plan to develop an ''immunological toolkit'' measuring the immune status of healthy individuals and patients.

Proper citation: RA MAP (RRID:SCR_010492) Copy   

•   Source: SciCrunch Registry

http://www.omicsdi.org/

Portal for dataset discovery across a heterogeneous, distributed group of transcriptomics, genomics, proteomics and metabolomics data resources. These resources span eight repositories in three continents and six organisations, including both open and controlled access data resources.

Proper citation: Omics Discovery Index (RRID:SCR_010494) Copy   

•   Source: SciCrunch Registry

http://subread.sourceforge.net/

Software package for high-performance read alignment, quantification and mutation discovery.General purpose read aligner which can be used to map both genomic DNA-seq reads and RNA-seq reads. Subread aligner as fast, accurate and scalable read mapping by seed-and-vote.These programs were also implemented in Bioconductor R package Rsubread.

Proper citation: Subread (RRID:SCR_009803) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/r-spit/

Group ICA (Independent Component Analysis) was used to generate spatial templates for 12 common resting-state networks in 62 typically-developing children, ages 9-15. They have made these available for those that will find them useful for masking and spatial template matching procedures. Basic demographic data on the sample is provided along with the protocol used to generate the templates.

Proper citation: resting-state pediatric imaging template (RRID:SCR_009647) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/factory4t1ndti/

Tools to make easier on using spm, pipedream, dti-tk, and other softwares to analyze t1 or dti images.

Proper citation: factory t1 dti (RRID:SCR_009523) Copy   

•   Source: SciCrunch Registry

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

A graph theoretical network analysis toolbox which allows researchers to perform comprehensive analysis on the topology of brain connectome by integrating the most of network measures studied in current neuroscience field.

Proper citation: GRETNA (RRID:SCR_009487) Copy   

•   Source: SciCrunch Registry

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