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https://endomap.hms.harvard.edu/
Structural interactome viewer. Interactive database of endosomal protein-protein interactions identified by cross-linking mass spectrometry and modeled by AlphaFold multimer. Structural protein interactome of human early endosomes.
Proper citation: EndoMap (RRID:SCR_026690) Copy
https://github.com/Yonghao-Holden/TEProf3
Software pipeline to detect Transposable Elements transcripts. Used to identify TE-derived promoters and transcripts using transcriptomic data from multiple sources, including short-read RNA-seq data, long-read RNA-seq data and single cell RNA-seq data.
Proper citation: TEProf3 (RRID:SCR_027288) Copy
https://github.com/smorabit/hdWGCNA
Software R package for performing weighted gene co-expression network analysis in high dimensional transcriptomics data such as single-cell RNA-seq or spatial transcriptomics.
Proper citation: hdWGCNA (RRID:SCR_027496) Copy
https://github.com/ReproBrainChart
Open data resource for mapping brain development and its associations with mental health. Integrates data from 5 large studies of brain development in youth from three continents (N = 6,346). Bifactor models were used to create harmonized psychiatric phenotypes, capturing major dimensions of psychopathology. Neuroimaging data were carefully curated and processed using consistent pipelines in a reproducible manner.
Proper citation: Reproducible Brain Charts (RRID:SCR_027837) Copy
https://doi.org/10.17605/OSF.IO/WDR78
Open source resource of manually curated and expert reviewed infant brain segmentations hosted on OpenNeuro.org. and OSF.io. Anatomical MRI data was segmented from 71 infant imaging visits across 51 participants, using both T1w and T2w images per visit. Images showed dramatic differences in myelination and intensities across 1–9 months, emphasizing the need for densely sampled gold-standard segmentations across early life. This dataset provides a benchmark for evaluating and improving pipelines dependent upon segmentations in the youngest populations. As such, this dataset provides a vitally needed foundation for early-life large-scale studies such as HBCD.
Proper citation: Baby Open Brains (RRID:SCR_027836) Copy
Web application for human-readable, searchable neuroimaging datasets using universally accessible JSON format and URL-based RESTful APIs. NeuroJSON.io is built upon highly scalable document-store NoSQL database technologies, specifically, open-source Apache CouchDB engine, that can handle millions of datasets without major performance penalties. Provides fine-grained data search capabilities to allow users to find, preview and re-combine complex data records from public datasets before download.
Proper citation: NeuroJSON.io (RRID:SCR_027793) Copy
United States based educational platform dedicated to changing research culture by providing comprehensive educational materials, promoting best practices, and fostering a community committed to improving research reliability. Helps researchers learn and implement scientific rigor, such as proper experimental design, avoiding bias, and statistical analysis. Offers modules that address common issues such as experimental design, causal inference, avoiding statistical fallacies, and writing transparently reproducible code.
Proper citation: C4R (RRID:SCR_028702) Copy
http://sourceforge.net/projects/powermap/
Software tool specifically designed for neuroimaging data that implements theoretical power calculation algorithms based on non-central random field theory. It can also calculate power for statistical analyses with FDR (false discovery rate) corrections. This GUI (graphical user interface)-based tool enables neuroimaging researchers without advanced knowledge in imaging statistics to calculate power and sample size in the form of 3D images. This tool is currently under limited release for beta testing. At this time, only users that have been directed to this site by the PowerMap developers will receive support.
Proper citation: PowerMap (RRID:SCR_006721) Copy
Open source software for automated and manual tracing of neurites from light microscopy stacks of images. NCTracer 2.0 is developed for the Windows 7, 64-bit operating system and requires a minimum of 4 GB of RAM. This version does not run on 32-bit computers, Mac or Linux OS.
Proper citation: Neural Circuit Tracer (RRID:SCR_000116) Copy
http://www.fz-juelich.de/ime/spm_anatomy_toolbox
A MATLAB toolbox which uses three dimensional probabilistic cytoarchitechtonic maps to correlate microscopic, anatomic and functional data of the cerebral cortex. Correlating the activation foci identified in functional imaging studies of the human brain with structural (e.g., cytoarchitectonic) information on the activated areas is a major methodological challenge for neuroscience research. We here present a new approach to make use of three-dimensional probabilistic cytoarchitectonic maps, as obtained from the analysis of human post-mortem brains, for correlating microscopical, anatomical and functional imaging data of the cerebral cortex. We introduce a new, MATLAB based toolbox for the SPM2 software package which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies. The toolbox includes the functionality for the construction of summary maps combining probability of several cortical areas by finding the most probable assignment of each voxel to one of these areas. Its main feature is to provide several measures defining the degree of correspondence between architectonic areas and functional foci. The software, together with the presently available probability maps, is available as open source software to the neuroimaging community. This new toolbox provides an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space.
Proper citation: SPM Anatomy Toolbox (RRID:SCR_013273) Copy
Coordinated and targeted service, training, and research to speed the development and enhance the utility of informatics tools related to neuroimaging. The initial focus will be on tools that are used in fMRI. If NIfTI proves useful in addressing informatics issues in the fMRI research community, it may be expanded to address similar issues in other areas of neuroimaging. Objectives of NIfTI * Enhancement of existing informatics tools used widely in neuroimaging research * Dissemination of neuroimaging informatics tools and information about them * Community-based approaches to solving common problems, such as lack of interoperability of tools and data * Unique training activities and research career development opportunities to those in the tool-user and tool-developer communities * Research and development of the next generation of neuroimaging informatics tools
Proper citation: Neuroimaging Informatics Technology Initiative (RRID:SCR_003141) Copy
Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children.
Proper citation: Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) Copy
https://github.com/sccn/labstreaminglayer
System for unified collection of measurement time series in research experiments that handles networking, time synchronization, near real time access as well as optionally centralized collection, viewing and disk recording of data. System for synchronizing streaming data for live analysis or recording.
Proper citation: Lab Streaming Layer (RRID:SCR_017631) Copy
Software tool to detect differential alternative splicing events from RNA-Seq data. Calculates P-value and false discovery rate that difference in isoform ratio of gene between two conditions exceeds given user-defined threshold. From RNA-Seq data can automatically detect and analyze alternative splicing events corresponding to all major types of alternative splicing patterns. Handles replicate RNA-Seq data from both paired and unpaired study design.
Proper citation: rMATS (RRID:SCR_023485) Copy
Portal for NIH, NIMH, and NINDS scientific and computer resources including Mac sites, PC sites, Linux sites, intramural programs, intranet and the NIH JumpStart and Directory.
Proper citation: Research Services Branch National Institutes of Mental Health (RRID:SCR_001633) Copy
http://brainml.org/goto.do?page=.home
Set of standards and practices for using XML to facilitate information exchange between user application software and neuroscience data repositories. It allows for common shared library routines to handle most of the data processing, but also supports use of structures specialized to the needs of particular neuroscience communities. This site also serves as a repository for BrainML models. (A BrainML model is an XML Schema and optional vocabulary files describing a data model for electronic representation of neuroscience data, including data types, formats, and controlled vocabulary. ) It focuses on layered definitions built over a common core in order to support community-driven extension. One such extension is provided by the new NIH-supported neuroinformatics initiative of the Society for Neuroscience, which supports the development of expert-derived terminology sets for several areas of neuroscience. Under a cooperative agreement, these term lists will be made available Open Source on this site.
The repository function of this site includes the following features:
* BrainML models are published in searchable, browsable form.
* Registered users may submit new models or new versions of existing models to accommodate data of interest. * BrainML model schema and vocabulary files are made available at fixed URLs to allow software applications to reference them.
* Users can check models and/or instance documents for correct format before submitting them using an online validation service.
To complement the BrainML modeling language, a set of protocols have been developed for BrainML document exchange between repositories and clients, for indexing of repositories, and for data query.
Proper citation: BrainML (RRID:SCR_007087) Copy
http://krasnow1.gmu.edu/cn3/index3.html
Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column). Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality. Based on biologically plausible rules and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from. Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate.
Proper citation: Computational Neuroanatomy Group (RRID:SCR_007150) Copy
http://senselab.med.yale.edu/modeldb/
Curated database of published models so that they can be openly accessed, downloaded, and tested to support computational neuroscience. Provides accessible location for storing and efficiently retrieving computational neuroscience models.Coupled with NeuronDB. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models. The model source code has to be available from publicly accessible online repository or WWW site. Original source code is used to generate simulation results from which authors derived their published insights and conclusions.
Proper citation: ModelDB (RRID:SCR_007271) Copy
Collects, stores, and distributes samples of nervous tissue, cerebrospinal fluid, blood, and other tissue from HIV-infected individuals. The NNTC mission is to bolster research on the effects of HIV infection on human brain by providing high-quality, well-characterized tissue samples from patients who died with HIV, and for whom comprehensive neuromedical and neuropsychiatric data were gathered antemortem. Researchers can request tissues from patients who have been characterized by: * degree of neurobehavioral impairment * neurological and other clinical diagnoses * history of drug use * antiretroviral treatments * blood and CSF viral load * neuropathological diagnosis The NNTC encourages external researchers to submit tissue requests for ancillary studies. The Specimen Query Tool is a web-based utility that allows researchers to quickly sort and identify appropriate NNTC specimens to support their research projects. The results generated by the tool reflect the inventory at a previous time. Actual availability at the local repositories may vary as specimens are added or distributed to other investigators.
Proper citation: National NeuroAIDS Tissue Consortium (RRID:SCR_007323) Copy
Trans-NIH project to assess the state of longitudinal and epidemiological research on demographic, social and biologic determinants of cognitive and emotional health in aging adults and the pathways by which cognitive and emotional health may reciprocally influence each other. A database of large scale longitudinal study relevant to healthy aging in 4 domains was created based on responses of investigators conducting these studies and is available for query. The four domains are: * Cognitive Health * Emotional Health * Demographic and Social Factors * Biomedical and Physiologic Factors
Proper citation: Cognitive and Emotional Health Project: The Healthy Brain (RRID:SCR_007390) Copy
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