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http://tcag.ca/index.html

Service and training support for academic, government, and private sector scientists worldwide in genomics, including laboratory experimentation, statistical analysis, and comprehensive bioinformatics support, including large-scale genome comparisons, algorithm and tools development, and database curation, annotation and hosting. The Centre for Applied Genomics hosts a variety of databases related to ongoing supported projects: *Autism Chromosome Rearrangement Database *Cystic Fibrosis Mutation Database *The Lafora Progressive Myoclonus Epilepsy Mutation and Polymorphism Database *Database of Genomic Variants *The Chromosome 7 Annotation Project *Human Genome Segmental Duplication Database *Non-Human Segmental Duplication Database Healthy control DNA samples from the Ontario Population Genomics Platform are available. The Biobanking and Databasing Facility provides DNA extraction from lymphoblasts, fibroblasts and other cell types, archiving of white cell pellets, preparation and immortalization of cell lines, and comprehensive databasing and tracking of samples and/or cell lines within the facility.

Proper citation: TCAG (RRID:SCR_001840) Copy   

•   Source: SciCrunch Registry

http://www.pdf.org/

A U.S. organization which funds Parkinson's disease research and provides materials and services to patients. PDF funds research through: research centers at major universities; early-career investigators that devote their talents to the study of Parkinsons; funding independent investigators through the International Research Grants Program; and collaboration with other organizations on innovative projects.

Proper citation: Parkinson's Disease Foundation (RRID:SCR_001832) Copy   

•   Source: SciCrunch Registry

https://www.bu.edu/tech/support/research/whats-happening/highlights/earlab/

Freely-accessible auditory databases as well as custom designed modeling and data analysis software tools. A fully functional online auditory modeling environment is also available, as well as downloadable models in several languages. The models cover many aspects of auditory function and at many different levels of detail ranging from multi-compartment celluar models to high-level abstractions of large portions of the auditory pathway. Currently a few models are available that can be run online and others are available for downloading. EarLab also provides custom cross-platform software for creating your own distributed auditory modeling environment, as well as software for analyzing the results from experimentation. A database of auditory modules is available for online use or download for the distributed auditory modeling environment, as well as instructions and specifications for creating your own modules. All these databases and custom software tools can be used in a wide variety of hearing research applications. This unique resource provides a wealth of information on auditory processing in humans and other animals. Mathematical models are also provided.

Proper citation: EarLab (RRID:SCR_001798) Copy   

•   Source: SciCrunch Registry

http://www.phosphosite.org

A freely accessible on-line systems biology resource devoted to all aspects of protein modification, as well as other post-translational modifications. It provides valuable and unique tools for both cell biologists and mass spectroscopists. PhosphoSite is a human- and mouse-centric database. It includes features such as: viewing the locations of modified residues on molecular models; browsing and searching MS2 records by disease, tissue, and cell line; submitting lists of peptides to identify previously reported genes; searching by sub-cellular localization, treatment, tissues, cell types, cell lines and diseases, and protein types and protein domains; searching for experimentally-verified kinase substrates and viewing preferred substrate motifs; and viewing MS2 spectra for peptides and sites not previously published.

Proper citation: PhosphoSitePlus: Protein Modification Site (RRID:SCR_001837) Copy   

•   Source: SciCrunch Registry

http://datahub.io/dataset/kupkb

A collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint http://sparql.kupkb.org/sparql The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made.

Proper citation: Kidney and Urinary Pathway Knowledge Base (RRID:SCR_001746) Copy   

•   Source: SciCrunch Registry

http://www.exploredti.com/

A graphical toolbox developed in Matlab for exploratory diffusion (tensor) MRI and fiber tractography. It includes diffusion reconstruction approaches, analysis and visualization tools for fiber tractography, atlas based segmentation, and connectivity networks. It also provides a wide range of quality assessment and pre-processing tools. Main features: * Visualization of scalar and vector maps of various diffusion tensor properties * Display of principal diffusion vectors, cuboids, and ellipsoids with several color-encodings * Deterministic (streamline) and 'probabilistic' (wild-bootstrap) fiber tractography * Clustering of fiber tracts * Data quality assessment tools * HARDI reconstructions (Q-ball and spherical deconvolution imaging) * Tract-specific measurements * Tract-segment analysis * Motion / distortion correction (with B-matrix rotation!) * Other cool stuff... (see publication link)

Proper citation: ExploreDTI (RRID:SCR_001643) Copy   

•   Source: SciCrunch Registry

https://www.cmtk.org/

A Python-based open source toolkit for magnetic resonance connectome mapping, data management, sharing, visualization and analysis. The toolkit includes the connectome mapper (a full DMRI processing pipeline), a new file format for multi modal data and metadata, and a visualization application.

Proper citation: Connectome Mapping Toolkit (RRID:SCR_001644) Copy   

•   Source: SciCrunch Registry

http://dti-tk.sourceforge.net/pmwiki/pmwiki.php

A spatial normalization and atlas construction toolkit optimized for examining white matter morphometry using DTI data with special care taken to respect the tensorial nature of the data. It implements a state-of-the-art registration algorithm that drives the alignment of white matter (WM) tracts by matching the orientation of the underlying fiber bundle at each voxel. The algorithm has been shown to both improve WM tract alignment and to enhance the power of statistical inference in clinical settings. A 2011 study published in NeuroImage ranks DTI-TK the top-performing tool in its class. Key features include: * open standard-based file IO support: NIfTI format for scalar, vector and tensor image volumes * tool chains for manipulating tensor image volumes: resampling, smoothing, warping, registration & visualization * pipelines for WM morphometry: spatial normalization & atlas construction for population-based studies * built-in cluster-computing support: support for open source Sun Grid Engine (SGE) * Interoperability with other popular DTI tools: AFNI, Camino, FSL & DTIStudio * Interoperability with ITK-SNAP: support multi-modal visualization and segmentation

Proper citation: Diffusion Tensor Imaging ToolKit (RRID:SCR_001642) Copy   

•   Source: SciCrunch Registry

http://cmic.cs.ucl.ac.uk/camino/

Free, open-source, object-oriented software package for analysis and reconstruction of Diffusion MRI data, tractography and connectivity mapping. The toolkit implements standard techniques, such as diffusion tensor fitting, mapping fractional anisotropy and mean diffusivity, deterministic and probabilistic tractography. It also contains more specialized and cutting-edge techniques, such as Monte-Carlo diffusion simulation, multi-fibre and HARDI reconstruction techniques, multi-fibre PICo, compartment models, and axon density and diameter estimation. Camino has a modular design to enable construction of processing pipelines that include modules from other software packages. The toolkit is primarily designed for unix platforms and structured to enable simple scripting of processing pipelines for batch processing. Most users use linux, MacOS or a unix emulator like cygwin running under windows. However, the core code is written in Java and thus is simple to call from other platforms and programming environments, such as matlab running under unix or windows.

Proper citation: Camino (RRID:SCR_001638) Copy   

•   Source: SciCrunch Registry

http://opensnp.org/

Database of raw data from people who have shared their direct-to-customer (DTC) genetic results from 23andMe, deCODEme or FamilyTreeDNA. Logged-In users can search the database for users with specific phenotypes and mass-download all corresponding SNP-datasets. This allows you to get datasets like All genotyping files of openSNP-users that have Alzheimer and the corresponding control group. They are currently working on providing API-access. You can also use JSON to get access to openSNP-data and some other ways: If you want to automate the file-downloads for a given phenotype the RSS-feeds could help you. Inside the RSS-XML there are 2 flags you could use to automatically create correct genotype-groups: gives you the variation of this user at the phenotype you are looking at and gives you the download link. If you were genotyped by 23andMe, deCODEme or FamilyTreeDNA (contact them regarding others) you can upload the raw genotype data which you can download from your DTC test provider. The data will then be openly available for the world to see and download. They also parse these SNPs and annotate them. For annotation they include the manually curated SNPedia and find Open Access primary publications which appear in the journals of The Public Library of Science (PLoS), an Open Access publishing group. Additionally they screen Mendeley, a crowd-sourced repository of scientific publications. You can also publish some of your phenotypes so some day it might get possible to associate some SNPs with phenotypes. You can also share your knowledge about SNPs and phenotypes with other users and can socialize.

Proper citation: openSNP (RRID:SCR_001636) Copy   

•   Source: SciCrunch Registry

http://tbi.ci.uchicago.edu/

Project to define a roadmap for diffusion MR imaging of traumatic brain imaging and design an infrastructure to implement the recommendations and tested to ensure feasibility, disseminate results, and facilitate deployment and adoption. The research roadmap and infrastructure development will concentrate on three areas: 1) standardization of diffusion imaging methodology, 2) trial design and patient selection for acute or chronic therapy, and 3) development of multi-center collaborations and repositories for evaluating whether advanced diffusion imaging does improve decision making and TBI patients' outcomes. # DTI MRI reproducability: One of the major areas of investigation in this project is to study the reproducibility of data acquisition and image analysis algorithms. Understanding reproducibility defines a base level of deviation from which scans can be analyzed with statistical significance. As part of this work they are also developing site qualification criteria with the intention of setting limits on the MR system minimal performance for acceptable use in TBI evaluation. # Infrastructure for image storage, analysis and visualization: There is a continuing need to refine and extend software methods for diffusion MRI data analysis and visualization. Not only to translate tools into clinical practice, but also to encourage continuation of the innovation and development of new tools and techniques. To deliver upon these goals they are designing and implementing a storage and computational infrastructure to provide access to shared datasets and intuitive interfaces for analysis and visualization through a variety of tools. A strong emphasis has been placed on providing secure data sharing and the ability to add community defined common data elements. The infrastructure is built upon a Software-as-a-Service model, in which tools are hosted and managed remotely allowing users access through well-defined interfaces. The final service will also facilitate composition or orchestration of workflows composed of different analysis and processing tasks (for example using LONI or XNAT pipelines) with the ultimate goal of providing automated no-click evaluations of diffusion MRI data. # Tool development: The final aspect of this project aims to facilitate and encourage tool development and contribution. By providing access to open datasets, they will create a platform on which tool developers can compare and improve and their tools. When tools are sufficiently mature they can be exposed in the infrastructure mentioned above and used by researchers and other developers.

Proper citation: Diffusion MRI of Traumatic Brain Injury (RRID:SCR_001637) Copy   

•   Source: SciCrunch Registry

https://pmsf.org/

The Phelan-McDermid Syndrome Foundation, established in 2002, is a 501(c)3 nonprofit group that provides support services for those who have family members affected by 22q13 Deletion Syndrome / Phelan-McDermid Syndrome. It also raises money to further awareness of the syndrome through research and sponsoring an international conference every two years that brings together families, researchers and therapists. The Foundation facilitates connections between families through networking, communications and support services. We also build alliances with other rare diseases groups to expand our reach and exposure. The syndrome, which affects families worldwide, is a rare genetic occurrence and is the result of a damaged or missing protein on the 22nd chromosome. Our Foundation works with researchers who are looking into the cause and possible cure for the syndrome. PMSF's grants and fellowships program is intended to encourage research projects that will advance the development of treatments and cures for PMS. Our mission is to bring together everyone affected by 22q13 Deletion Syndrome/Phelan-McDermid Syndrome to help them through the challenges they face every day and to raise awareness in the medical and research communities.

Proper citation: Phelan-McDermid Syndrome Foundation (RRID:SCR_001707) Copy   

•   Source: SciCrunch Registry

http://www.wikicancer.org/

A place where people connected to cancer can share real-life experiences -- fears, insights, stories, and advice. Adding perspectives is easy, and every contribution builds the site into a more valuable and unique community resource. Content, resources, and support on wikiCancer: * Just been diagnosed with cancer? * Living with cancer * For cancer survivors * How to support someone with cancer * Connect with other cancer patients, survivors, family and caregivers

Proper citation: wikiCancer (RRID:SCR_001824) Copy   

•   Source: SciCrunch Registry

https://rgd.mcw.edu/rgdweb/portal/home.jsp?p=4

An integrated resource for information on genes, QTLs and strains associated with diabetes. The portal provides easy acces to data related to both Type 1 and Type 2 Diabetes and Diabetes-related Obesity and Hypertension, as well as information on Diabetic Complications. View the results for all the included diabetes-related disease states or choose a disease category to get a pull-down list of diseases. A single click on a disease will provide a list of related genes, QTLs, and strains as well as a genome wide view of these via the GViewer tool. A link from GViewer to GBrowse shows the genes and QTLs within their genomic context. Additional pages for Phenotypes, Pathways and Biological Processes provide one-click access to data related to diabetes. Tools, Related Links and Rat Strain Models pages link to additional resources of interest to diabetes researchers.

Proper citation: Diabetes Disease Portal (RRID:SCR_001660) Copy   

•   Source: SciCrunch Registry

http://www.parkinsons.va.gov/Consortium/index.asp

A consortium created to support the provision of optimal care and education for veterans diagnosed with Parkinson's disease and related movement disorders through professional education, collaboration and advocacy.

Proper citation: National VA Parkinson's Disease Consortium (RRID:SCR_002024) Copy   

•   Source: SciCrunch Registry

http://neuromorpho.org/index.jsp

Centrally curated inventory of digitally reconstructed neurons associated with peer-reviewed publications that contains some of the most complete axonal arborizations digitally available in the community. Each neuron is represented by a unique identifier, general information (metadata), the original and standardized ASCII files of the digital morphological reconstruction, and a set of morphometric features. It contains contributions from over 100 laboratories worldwide and is continuously updated as new morphological reconstructions are collected, published, and shared. Users may browse by species, brain region, cell type or lab name. Users can also download morphological reconstructions for research and analysis. Deposition and distribution of reconstruction files ultimately prevents data loss. Centralized curation and annotation aims at minimizing the effort required by data owners while ensuring a unified format. It also provides a one-stop entry point for all available reconstructions, thus maximizing data visibility and impact.

Proper citation: NeuroMorpho.Org (RRID:SCR_002145) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/openadam/

A web-based database management system for the large amount of genotype data generated from the Affymetrix GeneChip Mapping Array and Genome-Wide Human SNP Array platforms.

Proper citation: openADAM (RRID:SCR_002018) Copy   

•   Source: SciCrunch Registry

http://www.pc.rhul.ac.uk/staff/J.Larsson/software.html

Set of programs and Tk/Tcl scripts, with a GUI wrapper, for extracting the inner and outer cortical surfaces from a T1-weighted MR image of the human brain. It is based on the TFI C++ library and is written for a Unix-based environment (specifically 64-bit and 32-bit versions of Ubuntu). As a courtesy to Apple users a version for Apple/X11 is maintained but the OS X version will always lag the Linux version; also, because some of the third-party libraries SurfRelax relies on may not be supported in or compatible with future versions of OS X, there is no guarantee that the OS X version will be supported indefinitely. Although in principle SurfRelax could be run under Windows (using Cygwin), because of the difficulties of maintaining multiple platforms and the limited support libraries available under Cygwin, there will no longer be support for SurfRelax on this platform. The surfaces are guaranteed to be topologically equivalent to a sphere, thereby obviating the need for handle removal. SurfRelax requires no user intervention, although minor manual editing is recommended for optimal results (normally less than 10 minutes per hemisphere). SurfRelax has several properties that compare favorably with other software packages for surface reconstruction: * Free software - The binaries (written in C++ and Tcl/Tk) are in the public domain. The source code will be released once legacy code issues have been resolved (i.e. replacing with GPL code). * Uses standard public file formats: Analyze file format (SPM/FSL-compatible) for volumes and OOGL OFF binary format for surfaces (see www.geomview.org (http://www.geomview.org/docs/html/geomview_26.html#OOGLRef)) * Combines advantages of volumetric and surface-based methods for surface generation * Correct topology of output surface guaranteed * Requires little or no user intervention - no need for manual handle removal * Relatively robust to noise - multi-scale method compensates for partial volume effects and intensity inhomogeneities * Relatively fast (an entire brain is segmented, extracted and unfolded in less than 2 hours of CPU time) * Powerful editing and visualization tools for volumes and surfaces * Readily extendable - for instance for use with monkey brains or children's brains * Can be used to visualize functional data from SPM or FSL * Includes tools for integration with Stanford's VISTASOFT tools for FMRI data analysis (white.stanford.edu)

Proper citation: SurfRelax (RRID:SCR_002139) Copy   

•   Source: SciCrunch Registry

http://www.parkinson.org

The mission of the National Parkinson Foundation is to improve the quality of care for people with Parkinson's disease through research, education and outreach. NPF funds research through four main programs: the Centers of Excellence Network, which focuses on clinical studies of new therapeutic approaches; the Parkinson's Outcomes Project, a large clinical study of Parkinson's disease; the Grants/Clinical Research Fund, which provides funding to individual researchers; and fellowship awards, which are used to train neurologists in the movement disorder specialty.

Proper citation: National Parkinson Foundation (RRID:SCR_002017) Copy   

•   Source: SciCrunch Registry

https://gene.sfari.org/database/human-gene/

Curated public database for autism research built on information extracted from the studies on molecular genetics and biology of Autism Spectrum Disorders (ASD). The genetic information includes data from linkage and association studies, cytogenetic abnormalities, and specific mutations associated with ASD. New gene submissions are welcome. Modules: * Human Gene: thoroughly annotated list of genes that have been studied in the context of autism, with information on the genes themselves, relevant references from the literature, and the nature of the evidence. Uniquely, SFARI Gene incorporates information on both common and rare variants. * Animal Model: information about lines of genetically modified mice that represent potential models of autism. This information includes the nature of the targeting construct, the background strain and, most importantly, a thorough summary of the phenotypic features of the mice that are most relevant to autism. * Protein Interaction (PIN): compilation of all known direct protein interactions for those gene products implicated in autism. It presents both graphical and tabular views of interactomes, highlighting connections between autism candidate genes. Each protein interaction is manually verified by consultation with the primary reference. * Copy Number Variant (CNV): a parallel resource providing genetic information about all known copy number variants linked to autism. * Gene Scoring: includes a "score" for each autism candidate gene, based on an assessment of the strength of human genetic evidence.

Proper citation: AutDB (RRID:SCR_001872) Copy   

•   Source: SciCrunch Registry