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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PASTA Resource Report Resource Website 10+ mentions |
PASTA (RRID:SCR_008770) | PASTA | software resource | A complete pipeline for the analysis of alternative splicing using RNA-Sequencing data. |
is listed by: OMICtools has parent organization: University of Florida; Florida; USA |
OMICS_01247 | SCR_008770 | Patterned Alignments for Splicing and Transcriptome Analysis | 2026-09-19 12:51:45 | 19 | |||||||||
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G-node portal electrophysiology data sharing Resource Report Resource Website 1+ mentions |
G-node portal electrophysiology data sharing (RRID:SCR_008893) | data or information resource, data repository, service resource, storage service resource | Platform for sharing data, with very large storage capability for electrophysiological data, EEG data is included. This service is provided for neuroscientists to facilitate data access, data storage, data analysis and data sharing. This service is developed and maintained by the German Node of the International Neuroinformatics Coordinating Facility. The global scale of neuroinformatics offers unprecedented opportunities for scientific collaborations between and among experimental and theoretical neuroscientists. To fully harvest these possibilities, coordinated activities are required to improve key ingredients of neuroscience: data access, data storage, and data analysis, together with supporting activities for teaching and training. Focusing on the development and free distribution of tools for handling and analyzing neurophysiological data, G-Node aims at addressing these aspects as part of the International Neuroinformatics Coordination Facility (INCF) and the German Bernstein Network for Computational Neuroscience (NNCN). G-Node also serves as an international forum for Computational Neuroscientists that are interested in sharing experimental data and tools for data analysis and modeling. G-Node is funded through the German Federal Ministry of Education and Research and hosted by Ludwig-Maximilians-Universit-Munchen. | neuroinformatics, electrophysiology, data, eeg, odml metadata language, api, neuroshare, data sharing, neurophysiology |
is listed by: 3DVC has parent organization: German Neuroinformatics Node (G-Node) |
BMBF | PMID:18653312 | nlx_151375 | https://portal.g-node.org/data | SCR_008893 | 2026-09-19 12:51:46 | 2 | |||||||
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Brain's Inner Workings: Activities for Grades 9 through 12 Resource Report Resource Website 1+ mentions |
Brain's Inner Workings: Activities for Grades 9 through 12 (RRID:SCR_008842) | Brain's Inner Workings | data or information resource, narrative resource, training material, video resource | This comprehensive free collection of multimedia resources and inquiry-based activities tied to the National Science Education Standards help teachers and students learn about the structure, function and cognitive aspects of the human brain. The packet includes a teacher's manual, student manual, DVD of videos, and a CDROM of accompanying materials. | high school, brain, manual, student, teacher, brain structure, brain function, cognition, cerebral cortex, nerve cell, neurotransmitter, imaging, mri, mental disease, k-12 | has parent organization: NIMH Educational Resources | NIMH | nlx_146227 | SCR_008842 | The Brain's Inner Workings: Activities for Grades 9 through 12, Brains Inner Workings: Activities for Grades 9 through 12 | 2026-09-19 12:51:46 | 2 | |||||||
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Wikibooks Resource Report Resource Website 1+ mentions |
Wikibooks (RRID:SCR_008799) | Wikibooks | authoring tool, book, data or information resource, narrative resource, portal, software application, software resource, wiki | Community wiki for an open-content textbooks collection that anyone can improve or add to, start new books, and join project-related discussions in the reading rooms. Contributors maintain the property rights to their contributions, while the Creative Commons Attribution-ShareAlike License and the GNU Free Documentation License makes sure that the submitted version and its derivative works will always remain freely distributable and reproducible. Categories include: Computing, Engineering, Humanities, Languages, Mathematics, Miscellaneous, Science, Social sciences, All subjects. Wikibooks has two sub-projects; Wikijunior which is aimed at children and the Cookbook which is a collection of recipes and culinary topics. * 2,440 books with 40,746 pages (March 2012) | textbook |
is listed by: FORCE11 has parent organization: Wikipedia is parent organization of: Neurology and Neurosurgery is parent organization of: Human Physiology is parent organization of: Demystifying Depression is parent organization of: Emergency Medicine is parent organization of: Diagnostic Radiology is parent organization of: Immunology is parent organization of: Handbook of Genetic Counseling is parent organization of: Orthopaedic Surgery is parent organization of: Surgical Procedures is parent organization of: MINC/Atlases is parent organization of: Pharmacology is parent organization of: Radiation Oncology is parent organization of: Next Generation Sequencing WikiBook |
Creative Commons Attribution-ShareAlike License, GNU Free Documentation License | nlx_144316 | SCR_008799 | 2026-09-19 12:51:45 | 1 | ||||||||
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University of Pennsylvania Center for Neurodegenerative Disease Research Resource Report Resource Website |
University of Pennsylvania Center for Neurodegenerative Disease Research (RRID:SCR_008798) | data or information resource, degree granting program, disease-related portal, graduate program resource, medical school program resource, portal, postdoctoral program resource, topical portal, training resource | A research institution which conducts clinical research to understand brain dysfunction and degeneration in Alzheimer's disease (AD), Parkinson's disease (PD), Frontotemporal disease (FTD), Amyotrophic Lateral Sclerosis (ALS or Lou Gehrig's disease), and other age-related neurodegenerative disorders. This organization also houses a general training program that has a focus on drug discovery. This program teaches trainees in etiology, pathogenesis, and diagnosis and treatment of Alzheimer's disease, Parkinson's disease, frontotemporal dementias, motor neuron disease and related disorders. This program also trains Ph.D and M.D/Ph.D students, as well scientists, physicians, and veterinarians who have already completed their advanced degree and are looking for a postdoctoral research fellowship. The program is designed to give a solid background in basic and translational neuroscience, and related disciplines. | alzheimer's disease, parkinson's disease, frontotemporal disease, amyotrophic lateral sclerosis, neurodegenerative disease, late adult human, motor neuron disease, primary lateral sclerosis, frontotemporal disease with parkinsonism, lewy body disease, frontotemporal lobar degeneration, drug discovery |
has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA is parent organization of: Penn Alzheimer's Disease Center is parent organization of: University of Pennslyvania Brain Bank |
Aging | NIA | nlx_144492 | SCR_008798 | Penn Center for Neurodegenerative Disease Research, Penn CNDR | 2026-09-19 12:51:45 | 0 | |||||||
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QPALMA Resource Report Resource Website 1+ mentions |
QPALMA (RRID:SCR_008791) | QPALMA | software resource | An alignment tool targeted to align spliced reads produced by Next Generation sequencing platforms such as Illumina Solexa or 454. | is listed by: OMICtools | OMICS_01248 | SCR_008791 | QPALMA: Optimal Spliced Alignments of Short Sequence Reads | 2026-09-19 12:51:45 | 1 | |||||||||
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MUSC Health Podcast Library Resource Report Resource Website |
MUSC Health Podcast Library (RRID:SCR_008827) | MUSC Health Podcast Library, MUSC Podcast | data or information resource, narrative resource, podcast | The MUSChealth.com Podcast Library, featuring podcasts on a variety of topics related to your health and our services here at MUSC. These medical podcasts are hosted by MUSC faculty, physicians and special guests and are produced and directed by Linda Austin, M.D. Current topics include: * Academics and Education * Aging, Geriatrics and Caregiving * Alcohol and Drug Dependency * Allergies and Asthma * Ashley River Tower * Bones, Joints, Muscles and Spine * Cancer * Children''s Health * Cosmetic Surgery * Dental * Dermatology/Skin Problems * Diabetes, Endocrinology and Metabolism * Digestive Health * ENT: Ear, Nose and Throat * Executive Health * Eye Health * General Health and Wellness * Heart and Vascular Health * Hospice * Kohl''s Take a Minute for Kids * Lungs and Breathing * Men''s Health * Mental Health * MUSC News and Events * Neurological Health * Organ Transplant * Osteoporosis * Pregnancy - Week by Week * Pregnancy and Childbirth * Radiology * Research and Clinical Trials * SC Health, Leadership and Policy * Sports Medicine * Stroke * Urology * Weight Loss Surgery Follow-up * Weight Management * Women''s Health | health, medical, academic, education, geriatrics, caregiving, alcohol addiction, drug dependency, allergy, asthma, bone, joint, muscle, spine, cancer, child, cosmetic surgery, tooth, dermatology, skin, diabetes, endocrinology, metabolism, digestive system, ear, nose, throat, eye, heart, vascular system, hospice, child, lung, breathing, man, mental health, neurology, organ transplant, osteoporosis, pregnancy, childbirth, radiology, research, clinical trial, leadership, policy, sports medicine, stroke, urology, weight loss, surgery, weight management, woman, human | has parent organization: Medical University of South Carolina; South Carolina; USA | Aging | nlx_144507 | SCR_008827 | MUSC Health Audio Podcasts, MUSChealth.com Podcast Library | 2026-09-19 12:51:45 | 0 | |||||||
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Sequgio Resource Report Resource Website |
Sequgio (RRID:SCR_008867) | Sequgio | software resource | An algorithm to estimate isoforms expression from RNA-seq data based on a model that doesn''t assume uniform distribution of count within transcripts. | is listed by: OMICtools | PMID:24307704 | OMICS_01290 | SCR_008867 | 2026-09-19 12:51:46 | 0 | |||||||||
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Central Brain Tumor Registry of the United States Resource Report Resource Website 10+ mentions |
Central Brain Tumor Registry of the United States (RRID:SCR_008748) | CBTRUS | nonprofit organization | Voluntary, non-profit organization dedicated to collecting and disseminating statistical data. Resource for gathering and disseminating epidemiologic data on all primary benign and malignant brain and other CNS tumors. | human, brain, tumor, cancer, central nervous system, epidemiology, incidence, survival, diagnosis, treatment, benign, malignant, registry, epidemiological data, aggregator, clinical, statistics, population, histology, age, gender, race, hispanic, mortality | Brain tumor, Aging | American Brain Tumor Association ; National Brain Tumor Society ; Pediatric Brain Tumor Foundation ; NCI contract HHSN261201000576P |
PMID:23095881 | Application required., The community can contribute to this resource | grid.492337.8, ISNI: 0000 0004 0484 2205, nlx_143889 | https://ror.org/03849s113 | SCR_008748 | 2026-09-19 12:51:44 | 26 | |||||
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CBioC Resource Report Resource Website 1+ mentions |
CBioC (RRID:SCR_008863) | CBioC | software resource | A tool for extraction and collaboration for data curation related to biology. CBioC runs as a web browser extension and allows unobtrusive use of the system during the regular course of research in PubMed. It can also be accessed directly (without having to install a plug-in). Automated text extraction is used as a starting point to bootstrap the database, but then it is up to biologists improve upon the extracted data, ironing out inconsistencies by subsequent edits on a massive scale. * After install, it loads when you visit PubMed. * Gets interactions from PubMed abstracts. * Allows you to vote and modify extracted data. * Also shows data from BIND, DIP, MINT, GRID, IntAct. | text extraction, curation, crowd sourcing |
is listed by: 3DVC is related to: PubMed has parent organization: Arizona State University; Arizona; USA |
Arizona State University 0412000 | PMID:17951840 | nlx_149235 | SCR_008863 | CBioC - Collaboratively uncovering the nuggets of knowledge buried in millions of biomedical texts, Collaborative Bio Curation | 2026-09-19 12:51:46 | 1 | ||||||
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GOMO - Gene Ontology for Motifs Resource Report Resource Website 1+ mentions |
GOMO - Gene Ontology for Motifs (RRID:SCR_008864) | GOMO | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource | Gene Ontology for Motifs (GOMO) is an alignment- and threshold-free comparative genomics approach for assigning functional roles to DNA regulatory motifs from DNA sequence. The algorithm detects associations between a user-specified DNA regulatory motif (expressed as a position weight matrix; PWM) and Gene Ontology terms. The original method for predicting the roles of transcription factors (TFs starts with a PWM motif describing the DNA-binding affinity of the TF. GOMO uses the PWM to score the promoter region of each gene in the genome for its likelihood to be bound by the TF. The resulting ''''affinity'''' scores are then used to test each term in the Gene Ontology for association with high-scoring genes. The algorithm was subsequently extended to leverage conserved signals using multiple, related species in a comparative approach, which greatly improves the resulting annotations. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, motif, genomics, gene ontology, function, compare, ontology or annotation editor, statistical analysis, dna binding motif, dna binding, dna, transcription factor, sequence |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Queensland; Brisbane; Australia has parent organization: MEME Suite - Motif-based sequence analysis tools |
Australian Research Council ; University of Queensland; Brisbane; Australia ; International Research Tuition Award ; NCRR R01 RR021692 |
PMID:20147307 PMID:18544606 |
Free for academic use | nlx_149250 | SCR_008864 | Gene Ontology for Motifs | 2026-09-19 12:51:46 | 3 | |||||
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Onto-Express To Go (OE2GO) Resource Report Resource Website |
Onto-Express To Go (OE2GO) (RRID:SCR_008854) | OE2GO | analysis service resource, data analysis service, production service resource, service resource, software application, software resource, text-mining software | Onto-Express is a web-based tool in the Onto-Tools suite that performs automated function profiling for a list of differentially expressed genes. However, Onto-Express does not support functional profiling for the organisms that do not have annotations in public domain, or use of custom (i.e. user-defined) ontologies. This limitation is also true for most of the other existing tools for functional profiling, which means that researchers working with uncommon organisms and/or new annotations or ontologies may be forced to construct such profiles manually. Onto-Express To Go (OE2GO) is a new tool added to the Onto-Tools ensemble to address these issues. OE2GO is built on top of OE to leverage its existing functionality. In OE2GO, the users now have an option to use either the Onto-Tools database as a source of functional annotations or provide their own annotations in a separate file. Currently, OE2GO supports annotation file in the Gene Ontology format. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, gene expression, annotation, data mining, ontology browser, annotation browser, ontology search engine, annotation search engine, ontology visualization, annotation visualization, statistical analysis, term enrichment, browser, visualization, search engine |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:17584796 | Free for academic use | nlx_149112 | SCR_008854 | Onto-Express-to-go, Onto-Express To Go | 2026-09-19 12:51:46 | 0 | ||||||
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Tissue Access for Patient Benefit Resource Report Resource Website |
Tissue Access for Patient Benefit (RRID:SCR_008853) | TAPb, TAPB | data or information resource, portal, topical portal | We aim to facilitate the pathway for access, storage, use and transfer of human organs, cells and tissue between clinical centers within UCL Partners, academic groups in UCL, other universities, hospitals, medical researcher and biotechnology companies, to enhance the ability for researchers to access the materials they need. Alongside this, researchers will be able to exchange information and access guides on regulatory, ethics and practical issues concerning access, transfer and use of this type of material. These guides will be video and documents format, based on talks at organized events given by experts in the relevant fields. All of this information will be accessible on a website that seeks to link groups within UCL and attract attention from the wider world through social media and expansion of existing contacts. Our vision is to develop a centralized human tissue provision and utilization service for academic and commercial researchers UCL has the highest concentration of biomedical researchers in Europe. As part of this, UCL has numerous licensed biobanks and is associated with many research intensive hospitals in North London. The role of a biobank is to prepare and hold human tissue samples in for use by medical researchers to help delivery new treatments. Hospitals can also provide human tissue for research by utilizing waste human tissue taken as part of surgery or diagnostic procedures, but is normally incinerated. The researchers using the human tissue could be working within academic laboratories in UK universities and institutions or as part of commercial companies. Researchers currently cannot easily access human tissue to meet the demands of their research, often due to the long ethical, regulatory and contractual processes. However, with the enormous UCL biobanking and research Hospital resources, UCL could be a leading academic institution in providing human tissue for medical research within the UK and internationally. Our vision is to develop a centralized human tissue provision and utilization service for academic and commercial researchers. This relies on creating an overarching infrastructure, to consolidate information on disparate human tissue resources around UCL, and (where possible) gain centralized ethical and regulatory and contractual approval for use of the tissue. Funding the infrastructure will rely on a cost recovery model for a per sample basis. As a result the time needed to obtain tissue for research will be dramatically reduced, whilst providing a simple costing model for obtaining human tissue. This will make human tissue procurement much more efficient for end users. | has parent organization: University College London; London; United Kingdom | nlx_149096 | SCR_008853 | UCL - Tissue Access for Patient Benefit | 2026-09-19 12:51:46 | 0 | |||||||||
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OME - Open Microscopy Environment Resource Report Resource Website 1+ mentions |
OME - Open Microscopy Environment (RRID:SCR_008849) | OME | data or information resource, narrative resource, software resource, source code, standard specification | Open tools to support data management for biological light microscopy produced by a multi-site collaborative effort among academic laboratories and a number of commercial entities. Designed to interact with existing commercial software, all OME formats and software are free, and all OME source code is available under the GNU General public license or through commercial license from Glencoe Software. OME is developed as a joint project between research-active laboratories at the Dundee, NIA Baltimore, and Harvard Medical School and LOCI. In addition, OME has active collaborations with many imaging and informatics groups. While many other applications could use OME''s architecture and design, their specific implementation is focused on biological and biomedical imaging. Those interested in applying OME''s technology to other applications should contact the developers. OME work is divided into several different standards and software projects: * Bio-Formats: A Java-based library for reading and writing over 90 microscopy file formats. * OMERO Software: The Java-based OMERO software project, which currently includes tools for storing, visualizing, managing, and annotating microscopic images and metadata. * OME-XML & OME-TIFF: The OME-XML and OME-TIFF file format specifications, which are open file formats for sharing microscope image data. * OME Server: This was the original OME server project which has now ended and is a legacy product. It implements image-based analysis of cellular dynamics and image-based screening of cellular localization or phenotypes, and included a fully developed version of the 2003 version of OME-XML Schema language. | light microscopy, imaging, biomedical imaging, image, microscope, biomedical |
has parent organization: University of Dundee; Scotland; United Kingdom is parent organization of: Bio-Formats is parent organization of: OMERO is parent organization of: OME-TIFF Format |
Aging | PMID:15892875 PMID:20513764 |
GNU General Public License, Commercial license, (Glencoe Software) | nlx_146268 | SCR_008849 | Open Microscopy Environment | 2026-09-19 12:51:46 | 8 | |||||
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DFBIdb Resource Report Resource Website |
DFBIdb (RRID:SCR_009456) | DFBIdb | data management software, software application, software resource | A suite of tools for efficient management of neuroimaging project data. Specifically, DFBIdb was designed to allow users to quickly perform routine management tasks of sorting, archiving, exploring, exporting and organising raw data. DFBIdb was implemented as a collection of Python scripts that maintain a project-based, centralised database that is based on the XCEDE 2 data model. Project data is imported from a filesystem hierarchy of raw files, which is an often-used convention of imaging devices, using a single script that catalogues meta-data into a modified XCEDE 2 data model. During the import process data are reversibly anonymised, archived and compressed. The import script was designed to support multiple file formats and features an extensible framework that can be adapted to novel file formats. Graphical user interfaces are provided for data exploration. DFBIdb includes facilities to export, convert and organise customisable subsets of project data according to user-specified criteria. | magnetic resonance, neuroimaging, python, data management software, project management | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | PMID:20838938 | GNU General Public License | nlx_155602 | SCR_009456 | 2026-09-19 12:51:48 | 0 | |||||||
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DIAMOND Resource Report Resource Website 1000+ mentions |
DIAMOND (RRID:SCR_009457) | DIAMOND | software resource | Software to: view dicom files and assemble them into 3D volumes. View and convert between Analyze, Nifti, and Interfile. Classify and organize dicoms and 3D volumes using metadata. Search and report on a collection of scans. | reusable library, analyze, database application, dicom, format conversion, image display, image reconstruction, magnetic resonance, nifti, python, software, visualization, workflow, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Davis; California; USA |
nlx_155603 | SCR_009457 | UC Davis IDeA Lab Applications for Management Of Neuroimaging Data | 2026-09-19 12:51:48 | 4156 | ||||||||
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GMA Resource Report Resource Website |
GMA (RRID:SCR_009212) | GMA | data analysis software, data processing software, software application, software resource, time-series analysis software | Software package to perform Granger mediation analysis for time series. Includes single level GMA model and two-level GMA model, for time series with hierarchically nested structure. | Granger, meditation, analysis, time, series, level, GMA, model, BRAIN Initiative, bio.tools |
is recommended by: BRAIN Initiative is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools |
NIBIB EB022911 | PMID:31070732 | Free, Available for download, Freely available | nlx_154361, biotools:GMA | https://github.com/chaoning/GMA, https://bio.tools/GMA | http://www.montana.edu/kalinowski/GMA/GMA_Home.htm | SCR_009212 | Granger Mediation Analysis | 2026-09-19 12:51:48 | 0 | |||
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CBS High-Res Brain Processing Tools Resource Report Resource Website 10+ mentions |
CBS High-Res Brain Processing Tools (RRID:SCR_009452) | CBS High-Res Brain Processing Tools | software resource | A fully automated processing pipeline for cortical analysis of structural MR images at a resolution of up to 400������m, including skull stripping, whole brain segmentation, cortical extraction, surface inflation and mapping, as well as dedicated tools for profile estimation across the cortical thickness. The tools are released as a set of plug-ins for the MIPAV software package and the JIST pipeline environment. They are therefore cross-platform and compatible with a wide variety of file formats. | magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: JIST: Java Image Science Toolkit is related to: MIPAV: Medical Image Processing and Visualization |
Free | nlx_155596 | SCR_009452 | 2026-09-19 12:51:48 | 20 | ||||||||
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CCSeg - Corpus Callosum Segmentation Resource Report Resource Website 1+ mentions |
CCSeg - Corpus Callosum Segmentation (RRID:SCR_009453) | CCSeg | data processing software, image analysis software, segmentation software, software application, software resource | An open-source C++-based application that allows automatic as well as user-interactive segmentation of the Corpus Callosum. Via a Qt-based graphical user interface, CCSeg also performs semi-automatic segmentation. | c++, magnetic resonance, segmentation, shape analysis, corpus callosum |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
PMID:9873919 | BSD License | nlx_155597 | SCR_009453 | Corpus Callosum Segmentation Tool | 2026-09-19 12:51:48 | 1 | ||||||
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BrainSolution Resource Report Resource Website |
BrainSolution (RRID:SCR_009447) | BrainSolution | data processing software, image analysis software, segmentation software, software application, software resource | A collection of tools for MRI T1 brain image segmentation in the Windows environment. It helps construct a complete pipeline with necessary preprocessing and postprocessing procedures besides brainparser, the core program of our fast brain segmentation. The execution of the whole pipeline can be completed in 2 hours with good segmentation results. Execution requires: FSL | analyze, c++, console (text based), labeling, linux, microsoft, magnetic resonance, posix/unix-like, region of interest, segmentation, sh/bash, unix shell, windows, windows nt/2000, windows vista, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Laboratory of Neuro Imaging |
LONI Software License | nlx_155591 | SCR_009447 | 2026-09-19 12:51:48 | 0 |
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