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http://imaging.indyrad.iupui.edu/projects/SPHARM/

A matlab-based 3D shape modeling and analysis toolkit, and is designed to aid statistical shape analysis for identifying morphometric changes in 3D structures of interest related to different conditions. SPHARM-MAT is implemented based on a powerful 3D Fourier surface representation method called SPHARM, which creates parametric surface models using spherical harmonics.

Proper citation: SPHARM-MAT (RRID:SCR_002545) Copy   

•   Source: SciCrunch Registry

http://www.mssm.edu/research/institutes/institute-for-personalized-medicine/biobank

The Mount Sinai Biobank is a large collection of DNA and plasma samples that are stored in a way that protects patients'' privacy while allowing research to be performed on de-identified clinical information from Mount Sinai''s data warehouse system. The Biobank''s goal is to acquire samples from a total of 100,000 donors over a period of several years. Mount Sinai is one of only a handful of places nationwide establishing biobanks on such a large scale. Funded by the Charles R. Bronfman Institute for Personalized Medicine, the Biobank project is a research project that is approved by the Mount Sinai Institutional Review Board and is continuously reviewed. Biobank Facts: * 17947 donors between 18 and 89 years of age have already participated in Biobank. * 194111 aliquots of DNA and * 212005 aliquots of plasma are available for future research.

Proper citation: Mount Sinai Biobank (RRID:SCR_004845) Copy   

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https://eyegene.nih.gov

National network of research laboratories for genetic testing of eye disease. They offer testing for affected individuals coupled to registry of clinical information available through patient registry. Large data set for investigators to identify additional genetic risk factors and to explore relationship between genetic disease (genotype) and its clinical manifestation (phenotype).

Proper citation: eyeGENE (RRID:SCR_004523) Copy   

•   Source: SciCrunch Registry

http://www.agre.org/index.cfm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. A private repository of clinical and genetic information on families with autism. Genetic and clinical data are obtained from families that have more than one family member diagnosed with an Autism Spectrum Disorder. The biological samples, along with the accompanying clinical data, are made available to AGRE-approved researchers worldwide. As they become available, additional family pedigrees will be posted in the online catalog. Cell lines have been established for the majority of families in this collection and serum/plasma is available on a subset of the subjects until stocks are depleted. The diagnosis of autism has been made using the standard Autism Diagnostic Interview-Revised (ADI-R) algorithm and the Autism Diagnostic Observation Scale (ADOS-G). Detailed birth and medical histories (including basic dysmorphology assessments) on children as well as family and medical information for parents and unaffected siblings, are available for nearly all families. DNA, cell lines, serum, plasma and clinical information are made available to AGRE-approved researchers for analysis.

Proper citation: Autism Genetic Resource Exchange (RRID:SCR_004403) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/NINDS/?SsId=10

Open resource of biological samples (DNA, cell lines, and other biospecimens) and corresponding phenotypic data to promote neurological research. Samples from more than 34,000 unique individuals with cerebrovascular disease, dystonia, epilepsy, Huntington's Disease, motor neuron disease, Parkinsonism, and Tourette Syndrome, as well as controls (population control and unaffected relatives) have been collected. The mission of the NINDS Repository is to provide 1) genetics support for scientists investigating pathogenesis in the central and peripheral nervous systems through submissions and distribution; 2) information support for patients, families, and advocates concerned with the living-side of neurological disease and stroke.

Proper citation: NINDS Repository (RRID:SCR_004520) Copy   

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http://epi.helmholtz-muenchen.de/kora-gen/index_e.php

KORA-gen is infrastructure to provide phenotypes, genotypes and biosamples for collaborative genetic epidemiological research. From all four surveys that have been conducted so far, the following biological material is on hand: genomic DNA, blood serum, blood plasma and EBV immortalized cell lines (form KORA S4 only). These have been extracted from blood samples and are stored in nitrogen tanks and -80 degrees C refrigerators. Genomic DNA from more than 18.000 adult subjects from Augsburg and the surrounding counties is available at present. So far, EBV immortalized cell lines from 1.600 participants are cultivated. To meet the manifold demands of researchers with genetic and molecular questions KORA-gen fulfills the following prerequisites for successful genetic-epidemiological research: * representative samples from the general population, * well characterized disease phenotypes and intermediate phenotypes, * information on environmental factors, * availability of genomic DNA, serum, plasma and urine, as well as EBV immortalized cell lines. In total, four population based health surveys have been conducted between 1984 and 2000 with 18000 participants in the age range of 25 to 74 years, and a biological specimen bank was established in order to enable scientists to perform epidemiologic research with respect to molecular and genetic questions. The KORA study center conducts regular follow-up investigations and has collected a wealth of information on sociodemography, general medical history, environmental factors, smoking, nutrition, alcohol consumption, and various laboratory parameters. This unique resource will be increased further by follow-up studies of the cohort. The assessment of statistical questions covers the definition of the study design and the calculation of statistical power. Furthermore, we offer assistance in data analysis. Kora-gen can be used by external partners. Interested parties can inform themselves interactively via internet about the available data and rules of access. The genotypic data base is a common resource to all partners.

Proper citation: KORA-gen (RRID:SCR_004510) Copy   

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http://dbmi.mc.vanderbilt.edu/research/dnadatabank.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. BioVU is a research resource providing a View into biology at the level of DNA and other important macromolecules. BioVU has two major components. The first is a repository of DNA samples (extracted from discarded blood samples) that are coded solely by a Research Unique Identifier (RUI) derived from the Medical Record Number (MRN) using a one-way hash function. This is a computer algorithm that creates a transformation of each MRN such that the resulting RUI (which is in this instance is a 512 byte identifier) is unique, and has the property that it is not possible to infer or compute the MRN that generated it. As of early 2009, over 50,000 DNA samples were in the biobank, with new samples being added at the rate of approximately 700 per week. The second component of the resource is the creation of a database known as the Synthetic Derivative which is a collection of de-identified information extracted from VUMC''s electronic clinical information systems, indexed by the same one-way RUI used to track samples, and with content changed by deletion or permutation of all identifiers contained within each record. The Synthetic Derivative search interface is available to Vanderbilt researchers via the StarBRITE research portal created and maintained by the Vanderbilt Institute for Clinical and Translational Research. This user interface enables investigators meeting protocol approval criteria and other user agreement requirements to receive protocol-specific sets of data derived from DNA samples and from the Synthetic Derivative., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Vanderbilt BioVU (RRID:SCR_004632) Copy   

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http://www.egi.com/research-division-geodesic-system-components/eeg-software

A complete software package for working with electroencephalography (EEG) and event-related potential (ERP) data. You can acquire, review, analyze, and now ?see? your participant with synchronized video. Net Station also offers specialized tools and workflow options for both clinical and research applications, allows you to save different combinations of view settings (called workspaces) and helps with your reporting requirements by letting you set up and print custom cover pages. For more specialized work, Net Station also provides an optional electrical source estimation module (GeoSource) and an optional sensor location digitizer (Geodesic Photogrammetry System).

Proper citation: Net Station EEG Software (RRID:SCR_002453) Copy   

•   Source: SciCrunch Registry

http://www.genomeutwin.org/index.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Study of genetic and life-style risk factors associated with common diseases based on analysis of European twins. The population cohorts used in the Genomeutwin study consist of Danish, Finnish, Italian, Dutch, English, Australian and Swedish twins and the MORGAM population cohort. This project will apply and develop new molecular and statistical strategies to analyze unique European twin and other population cohorts to define and characterize the genetic, environmental and life-style components in the background of health problems like obesity, migraine, coronary heart disease and stroke, representing major health care problems worldwide. The participating 8 twin cohorts form a collection of over 0.6 million pairs of twins. Tens of thousands of DNA samples with informed consents for genetic studies of common diseases have already been stored from these population-based twin cohorts. Studies targeted to cardiovascular traits are now being undertaken in MORGAM, a prospective case-cohort study. MORGAM cohorts include approximately 6000 individuals, drawn from population-based cohorts consisting of more than 80 000 participants who have donated DNA samples.

Proper citation: GenomEUtwin (RRID:SCR_002843) Copy   

•   Source: SciCrunch Registry

http://specimencentral.com/

World's open biospecimen research database where biobanks and biomedical researchers meet to exchange human biospecimen needs and supply: whole blood, serum, plasma, solid tissue samples and more. The connection is accelerated so researchers save valuable time and money and tissue banks utilize inventory. The pace of specimen procurement remains unacceptably slow to the biomedical research community. Specimen Central is the foremost global resource to aid biomedical researchers in expediting their search for high quality human biospecimens, tissues, samples and specimens. They facilitate your search for blood, whole blood, buccal swab, DNA, RNA, protein, cell lines, plasma, serum, RBC, white cells, buffy coat, fluid, marrow, urine, stem cells, and solid tissue such as tumor, tumor and biopsy materials spanning all manner of common and rare pathologies and indications including Alzheimer's, basal cell carcinoma, bladder cancer, bone cancer, brain cancer, breast cancer, cerebrospinal fluid, amniotic fluid, colorectal cancer, colon cancer, hodgkins and non-hodgkins lymphoma, kidney/renal cancer, leukemia, liver cancer, lung cancer, melanoma, multiple sclerosis, myeloma neuroblastoma, neurodegenerative diseases, ovarian cancer, pancreatic cancer, prostate cancer, urinary cancer. This includes adult and pediatric indications. Specimen Central users specify a number of variables in their Specimen Requests, including preparation, preservation and handling requirements such as cryo-preserved, FFPE (Formalin-fixed paraffin-embedded), formalin, frozen, refrigerated, OCT, snap frozen, paraffin block, fresh, prospective, autopsy or cadaveric, etc. Many users require clinically annotated date associated with their specimens, as well as documentation of IRB or ethics committee approval and informed consents. For Researchers Most specimen databases require researchers to waste time and effort entering lengthy registrations and search queries that yield poor results, if anything. Specimen Central solves this problem by having tissue banks search for you. From years to months, months to weeks, and weeks to days, Specimen Central seeks to reduce delays and costs in the research & development life cycle by expediting connections between demand and supply. For Biobanks The capital costs of maintaining a biobank infrastructure are substantial and growing. Biobanks use Specimen Central as a marketing tool to augment their business development efforts. By routinely checking Specimen Central's Specimen Requests, biobanks can uncover market demand for their inventories and develop new connections and revenue streams to defray costs. Specimen Central supplements - not displaces - the efforts of your sales representatives, agents, brokers and commercial partners.

Proper citation: SpecimenCentral.com (RRID:SCR_003536) Copy   

•   Source: SciCrunch Registry

http://www.biobank.unisi.it/Elencorett.asp

Data and biospecimen from Rett Syndrome patients shared with the scientific community with the ability to visualize the list of available samples and select those with specific clinical and molecular features. It also contains information on biospecimen samples from x-linked retardation, microdeletion, duplication syndromes, autosomal MR, and retinoblastoma. The bank is active since 1998 and it is located in the Medical Genetics Unit, at the University Hospital of Siena. The bank is divided in three distinct sections: # Rett Syndrome. This section contains samples from patients affected by Rett syndrome, a neurodegenerative disease affecting almost exclusively girls with an estimated frequency of 1:10000-15000 live born. By accessing the section users can see a list of all patients available with their phenotype, the specific MECP2 or CDKL5 mutation if known and the kind of biological samples available for each patient. The availability of this large panel of patients is potentially important for the clarification of the molecular bases of Rett syndrome. In fact, a 20-30 of Rett cases do not have MECP2 or CDKL5 mutations. These patients might bear intronic/promoter MECP2 or CDKL5 mutations or they might have alterations in one or more genes different from MECP2 or CDKL5, as suggested by the identification of various chromosomal rearrangements. To confirm a causative role of these rearrangements, and to identify the relevant gene/s, it is important to collect a great number of patients in which to search for overlapping rearrangements or point mutations in candidate genes. # X-Linked Mental Retardation. This section contains samples collected by the centers belonging to the Italian network on X-linked mental retardation, which includes the laboratory of bank curators (for specific information on the network goals and organization, go to the section page). Mental retardation (MR) is the most frequent cause of serious handicap in humans with an estimated prevalence of 0,3-0,5 for moderate to severe MR (IQ<50) which increases to 1-1,5 when mild MR (IQ 50-70) is included. It is calculated that about 20-25 of mentally retarded males have a mutation in a gene on the X chromosome (X-linked mental retardation). X-linked mental retardation is a genetically heterogeneous condition. This is particularly true for the non-syndromic form (MRX), where MR is the only consistent clinical finding and no distinctive features between patients exist. In this situation the only possibility to group patients from different families is represented by linkage analysis, which needs the availability of large families. However, families linked to the same region demonstrate different causative genes. In these conditions, the number of patients available for analysis is a discriminating factor since a large number of patients need to be tested in order to fully confirm or exclude the involvement of a gene in MRX. # Other. This section of the bank contains biological materials and clinical data of patients with other genetic disorders (different from Rett and X-linked mental retardation). Part of this section is dedicated to Alport syndrome. Services: * Isolation of leukocytes from human peripheral blood samples * Establishment of EBV transformed lymphoblastoid cell lines from human peripheral blood leukocytes. * DNA extraction. * Plasma isolation. * Storage: ** Cryo-preservation of transformed cell lines and primary leukocytes at 135��C ** Storage of DNA at 20 degrees C ** Storage of plasma at 20 degrees C * Distribution of the stored biological samples.

Proper citation: Italian Rett Syndrome database (RRID:SCR_002000) Copy   

•   Source: SciCrunch Registry

http://www.knhi.zks.uni-leipzig.de/en/Research/SP03/

The goal of this project is the creation of an extensive biomaterials bank. Materials (blood, serum, plasma, DNA) from all patients who participate in studies in the network will be collected for this purpose. The objective is a consistently high quality standard for the processing, storage and management of all samples. The biomaterials bank is an investment in the future by the network. It enables the competence network and the research community in general to acquire new scientific knowledge about the development, progression and prognosis of the different forms of heart failure. Each time a patient is documented in a study in the competence network, blood (EDTA whole blood and serum) is drawn from the patient, sent by post to the central biomaterials bank and processed there in the central incoming sample laboratory according to specified standards. In the first two subsidization periods, a total of 100,000 samples from approximately 10,000 patients was documented and processed (aliquoting, DNA extraction). These samples are stored in climate-controlled rooms used especially for this purpose at the biomaterial bank of the Experimental and Clinical Research Center (ECRC) in Berlin-Buch at temperatures between -20 and -80 degrees C. As the central infrastructure project for all samples, the biomaterials bank is deeply involved in the networking. There are also intensive collaborations with other competence networks (e.g. the Competence Network for Congenital Heart Defects) and biobanks. The biomaterial bank of the Heart Failure Competence Network also participates in domestic and European pilot projects for networking biomaterial banks (BBMRI, ESFRI, etc.). The goal of these projects is to develop uniform methods for sample processing and use.

Proper citation: Central Biomaterial Bank - German Heart Failure Network (RRID:SCR_004667) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/enviPick/

Software for sequential partitioning, clustering and peak detection of centroided LC-MS mass spectrometry data (.mzXML). Interactive result and raw data plot.

Proper citation: enviPick (RRID:SCR_003059) Copy   

•   Source: SciCrunch Registry

http://www.mnbb.org/

The Michigan Neonatal Biobank (Biobank) is a storage and management facility for The Michigan Department of Community Health''s archive of dried blood spot cards. A 501(c)3 non-profit charitable organization, the Biobank is contracted to serve as the repository for storage and management of the samples in a temperature controlled facility at Wayne State University''s Biobanking Center of Excellence in Tech Town. The Biobank''s roots are planted in the State''s Newborn Screening Program which began in 1965 in the Department of Community Health. Newborn screening is a public health program required by Michigan law to find babies with rare but serious disorders that require early treatment. A few drops of blood taken from the baby''s heel are sent to the State Public Health Laboratory and are tested for 49 disorders. Each year more than 200 Michigan babies are found to have a disorder detected by Newborn Screening. Once screening in the State laboratory is complete, residual dried blood spot samples that are no longer needed for testing are each assigned a unique code which assures anonymity for the sample and its donor. The samples are then sent for storage in the Michigan Neonatal Biobank.

Proper citation: Michigan Neonatal Biobank (RRID:SCR_004541) Copy   

•   Source: SciCrunch Registry

https://www.apbenson.com/cyrillic-downloads

Software application for pedigree drawing with fully integrated risk analysis and support for industry standard databases (MS Access and Corel Paradox). It is designed for genetic counselors and others who work with patients. Cyrillic 2 draws pedigrees, works with genetic marker data, lets you do haplotyping and allows exports to a range of linkage analysis packages.

Proper citation: CYRILLIC (RRID:SCR_001823) Copy   

•   Source: SciCrunch Registry

https://www.signalingpathways.org/ominer/query.jsf

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP).

Proper citation: Nuclear Receptor Signaling Atlas (RRID:SCR_003287) Copy   

•   Source: SciCrunch Registry

https://www.anaspec.com/

Commercial supplier of antibodies, reagents, and dyes for research.

Proper citation: AnaSpec (RRID:SCR_002114) Copy   

•   Source: SciCrunch Registry

http://neuro.debian.net/pkgs/cmtk.html

A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction; EPI unwarping), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear model). CMTK is implemented in C++ with parallel processing using POSIX Threads (SMP), OpenMP (SMP), Grand Central Dispatch (SMP), and CUDA (GPU). Supported file formats include Analyze (r/w), NIFTI (r/w), Nrrd (r/w), DICOM (read), BioRad (read). Data exchange with other toolkits, such as ITK, FSL, AFNI, SPM, etc. is thus easily accomplished.

Proper citation: Computational Morphometry Toolkit (RRID:SCR_002234) Copy   

•   Source: SciCrunch Registry

http://www.store-a-tooth.com/

Provia Laboratories Inc. offers Store-A-Tooth, the industry-leading dental stem cell banking service for preserving the stem cells found in baby teeth and wisdom teeth. Store-A-Tooth is a service that provides you the opportunity to store the stem cells inside of teeth that come out. Eligible teeth include baby teeth, wisdom teeth, and other healthy teeth that need to be surgically extracted during the normal course of dental care. Store-A-Tooth has been available since 2006 from dentists across the U.S. At the core of our tooth transport device is the Save-A-Tooth device, which is FDA-approved and ADA accepted for the preservation of avulsed teeth. We use Save-A-Tooth for tooth collection and transport to ensure optimal viability of your sample for processing and cryopreservation. Our laboratory is FDA-registered, CLIA-certified, and AABB-accredited.

Proper citation: Store-a-Tooth Stem Cell Bank (RRID:SCR_004252) Copy   

•   Source: SciCrunch Registry

https://www.biocompare.com/19333-Image-Analysis-Software-Image-Processing-Software/4378970-Definiens-Tissue-Studio/

Software to detect regions of interests and distinguishes cells and sub-cellular objects within these target regions from immunohistochemistry specimen. Used for digital pathology image analysis.

Proper citation: Tissue Studio (RRID:SCR_023001) Copy   

•   Source: SciCrunch Registry