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http://www.lcnw.org

LifeCenter Northwest is one of 58 federally designated nonprofit organ procurement organizations (OPO) in the United States. LifeCenter Northwest works together with families, medical professionals, and communities in Alaska, Montana, North Idaho, and Washington to save lives through organ and tissue donation. LifeCenter Northwest provides the following services: * Hospital Development ** support of donor families throughout and after the donation process ** development of strong relationships between hospitals and LifeCenter Northwest ** helping hospitals stay compliant with federal and state regulations ** ongoing education of hospital staff on donation laws and programs * Organ Recovery Services ** on-site referral response to hospitals ** evaluation of patient medical suitability for donation ** management of patient care through the allocation and recovery of organs ** placement of organs, working with the United Network for Organ Sharing (UNOS) ** coordination of transplant team transportation and arrival at donor hospitals ** surgical recovery and transportation of organs * Tissue Recovery Services ** telephone referral response to hospitals ** evaluation of patient medical suitability for donation ** surgical recovery and transportation of tissues

Proper citation: LifeCenter Northwest (RRID:SCR_004868) Copy   

•   Source: SciCrunch Registry

http://www.catransplant.org/

California Transplant Services (CTS) is a full service eye and tissue bank headquartered in Carlsbad, California. CTS is a California non-profit public benefit corporation qualified by the IRS as a section 501(c)3 public charity, licensed by the California Department of Public Health as a Tissue Bank and registered and inspected by the United States Food and Drug Administration. We were also inspected by the American Association of Tissue Banks in September of 2003 and awarded Accreditation in December 2003. California Transplant Services is a Member of the Eye Bank Association of America. We are registered in California with the Office of Charitable Trusts. Most of CTS California Transplant''s fulltime staff are Certified Tissue Bank Specialists (CTBS) by the AATB or Certified Eye Bank Technicians (CEBT) by the Eye Bank Association of America. CTS staffing includes fulltime and part time tissue procurement specialists. CTS helps tissue banks by providing 24 hour tissue placement services from it''s west coast USA distribution center. CTS has provided cornea and bone tissue placement services nationwide since 1994.

Proper citation: California Transplant Services (RRID:SCR_004788) Copy   

•   Source: SciCrunch Registry

http://www.rtix.com/about/donor-services/

RTI Donor Services is a not-for-profit, American Association of Tissue Banks (AATB) accredited organization, working with organ and tissue agencies to provide responsible stewardship of the gift of donation. By working with RTI Donor Services, you will receive the benefit of the science, safety and innovation of RTI Biologics, Inc. (RTI). While RTI Biologics and RTI Donor Services are separate but affiliated organizations, our missions are symbiotic ����?? both are aimed at improving the lives of others with a focus on maximizing the gift of tissue donation, providing safe tissue implants for recipients, and providing education and support programs to donor families and the donation community. Please visit http://www.rtidonorservices.org/about_rti_donor_services for more information.

Proper citation: RTI Donor Services (RRID:SCR_004895) Copy   

•   Source: SciCrunch Registry

http://www.barthsyndrome.org/english/View.asp?x=1513

The Barth Syndrome Registry and Repository (BRR) at the University of Florida and Children''s Hospital Boston was created to provide additional information about this rare disorder. By collecting information directly from families and abstracting medical information from patient records, we hope to build a large anonymized database that is useful for answering scientific research questions and that is a source of medical information. Additionally, we are collecting blood samples for DNA isolation and storage and for the development of special cell lines. These tools will allow researchers to better understand the cellular and genetic nature of this disease and how these abnormalities may impact the clinical variability of Barth syndrome patients. Currently available data from the Barth Syndrome Registry and Repository includes self-reported data. This includes basic demographics, age at diagnosis of Barth Syndrome, reason for diagnosis, family history; symptoms, presence or absence of a history of cardiomyopathy, history regarding hospitalizations, cardiac transplant or listing for transplant, presence or absence of a history of neutropenia; history of infections, medical therapy and basic developmental history. We are in the process of abstracting medical data to build a more complete medical database and may be able to provide additional data with a specific request. Currently the DNA bank has data from 65 patients, genomic DNA from 50 patients, lymphoblast lines from 41 patients, fibroblast lines from 3 patients, and myocardium/autopsy from 3 patients. However, this is increasing as new patients enroll in the Registry. Please contact us with questions and specific requests about data or specimens.

Proper citation: Barth Syndrome Biorepository (RRID:SCR_004775) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/oncotator

A tool for annotating human genomic point mutations and indels with data relevant to cancer researchers. Genomic Annotations, Protein Annotations, and Cancer Annotations are aggregated from many resources. A standalone version of Oncotator is being developed.

Proper citation: Oncotator (RRID:SCR_005183) Copy   

•   Source: SciCrunch Registry

http://lomalindahealth.org/medical-center/our-services/cancer-center/cancer-resource-center/biospecimen-laboratory.html

The Loma Linda University Cancer Center Biospecimen Laboratory provides specimens for researchers as they search for the causes of cancer, and look for new means of prevention and treatment. The specimens include tissues, blood products (blood cell, plasma and serum) and bone marrow cells. Researchers interested in gaining access to the Biospecimen Laboratory''s samples should email Dr. Saied Mirshahidi, requesting access. The number and types of samples we have available for research can be viewed, http://www.llu.edu/catissuesummary/. Use the Biospecimen Laboratory Tissue Request Form to request specimens for research studies.

Proper citation: Loma Linda University Cancer Center Biospecimen Laboratory (RRID:SCR_004767) Copy   

•   Source: SciCrunch Registry

http://autosome.ru/HOCOMOCO/

A comprehensive collection of human transcription factor binding sites models. DNA sequences of TF binding regions obtained by both pregenomic and high-throughput methods were collected from existing databases and other public data. The ChIPMunk software was used to construct positional weight matrices. Four motif discovery strategies were tested based on different motif shape priors including flat and periodic priors associated with DNA helix pitch. A quality rating was manually assigned to each model based on known binding preferences. An appropriate TFBS model was selected for each TF, with similar models selected for related TFs. In any case only one model per TF was selected unless there was additional evidence for two distinct binding models or different stable modes of dimerization. All TFBS models and initial binding segments data used for motif discovery were mapped to UniPROT IDs.

Proper citation: HOCOMOCO (RRID:SCR_005409) Copy   

•   Source: SciCrunch Registry

http://wiringthebrain.blogspot.com/

This blog highlights and comments on current research and hypotheses relating to how the brain wires itself up during development, how the end result can vary in different people and what happens when it goes wrong. It includes discussions of the genetic and neurodevelopmental bases of traits such as intelligence and personality characteristics, as well as of conditions such as schizophrenia, autism, dyslexia, epilepsy, synaesthesia and others.

Proper citation: Wiring the Brain (RRID:SCR_005528) Copy   

•   Source: SciCrunch Registry

http://research.nhgri.nih.gov/skippy/index.shtml

A Web-based tool that allows users to input a set of exonic variants to score them for a number of features (such as changes in splicing regulatory elements) that have been shown to be predictive of known genome variations that cause exon skipping or activation of ectopic splice sites. In this way, variants can be either prioritized for further splicing-based functional analysis or the results can be used as further genomic evidence in cases in which the causative variant is already known.

Proper citation: SKIPPY (RRID:SCR_005430) Copy   

•   Source: SciCrunch Registry

http://mirdsnp.ccr.buffalo.edu/

A database of manually curated dSNPs on the 3''UTRs of human genes from available publications in PubMed. The advanced web interface allows users to perform proximity searches between miRNA target sites and dSNPs by gene name, miRbase ID, target prediction algorithm, disease, and any nucleotide distance between dSNPs and miRNA target sites. The web interface displays detailed sequence views showing the relationship between dSNPs, miRNA target sites, and SNPs. An interactive visualization tool shows the chromosomal distribution of dSNPs, miRNA target sites (from TargetScan), and SNPs. miRdSNP provides a comprehensive data source of dSNPs and robust tools to capture their spacial relationship with miRNA target sites on the 3''UTRs of human genes. miRdSNP enables researchers to further explore the molecular mechanism of gene dysregulation for dSNPs at posttranscriptional level.

Proper citation: miRdSNP (RRID:SCR_005303) Copy   

•   Source: SciCrunch Registry

http://www.neuroepigenomics.org/methylomedb/

A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database.

Proper citation: MethylomeDB (RRID:SCR_005583) Copy   

•   Source: SciCrunch Registry

http://www.unihi.org

A database of human molecular interaction networks that integrates human protein-protein and transcriptional regulatory interactions from 15 distinct resources and aims to give direct and easy access to the integrated data set and to enable users to perform network-based investigations. The database includes tools (i) to search for molecular interaction partners of query genes or proteins in the integrated dataset, (ii) to inspect the origin, evidence and functional annotation of retrieved proteins and interactions, (iii) to visualize and adjust the resulting interaction network, (iv) to filter interactions based on method of derivation, evidence and type of experiment as well as based on gene expression data or gene lists and (v) to analyze the functional composition of interaction networks.

Proper citation: Unified Human Interactome (RRID:SCR_005805) Copy   

•   Source: SciCrunch Registry

http://llama.mshri.on.ca/funcassociate/

A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool

Proper citation: FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) Copy   

•   Source: SciCrunch Registry

http://snps-and-go.biocomp.unibo.it/snps-and-go/

A server for the prediction of single point protein mutations likely to be involved in the insurgence of diseases in humans.

Proper citation: SNPsandGO (RRID:SCR_005788) Copy   

•   Source: SciCrunch Registry

http://malacards.org

An integrated database of human maladies and their annotations, modeled on the architecture and richness of the popular GeneCards database of human genes. The database contains 17,705 diseases, consolidated from 28 sources.

Proper citation: MalaCards (RRID:SCR_005817) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-5/search?q=*

A virtual database currently indexing clinical trials databases including EU Clinical Trials Register and Clinicaltrials.gov.

Proper citation: Integrated Clinical Trials (RRID:SCR_005969) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/depressiondatabase/

The Major Depressive Disorder Neuroimaging Database (MaND) contains information of 225 studies which have investigated brain structure (using MRI and CT scans) in patients with major depressive disorder compared to a control group. 143 studies and 63 brain structures are included in the meta-analysis. The database and meta-analysis are contained in an Excel spreadsheet file which may be freely downloaded from this website.

Proper citation: Major depressive disorder neuroimaging database (RRID:SCR_005835) Copy   

•   Source: SciCrunch Registry

http://www.btool.org/ADGO2

A web-based tool that provides composite interpretations for microarray data comparing two sample groups as well as lists of genes from diverse sources of biological information. It provides multiple gene set analysis methods for microarray inputs as well as enrichment analyses for lists of genes. It screens redundant composite annotations when generating and prioritizing them. It also incorporates union and subtracted sets as well as intersection sets. Users can upload their gene sets (e.g. predicted miRNA targets) to generate and analyze new composite sets.

Proper citation: ADGO (RRID:SCR_006343) Copy   

•   Source: SciCrunch Registry

https://open.med.harvard.edu/display/SHRINE/Community

Software providing a scalable query and aggregation mechanism that enables federated queries across many independently operated patient databases. This platform enables clinical researchers to solve the problem of identifying sufficient numbers of patients to include in their studies by querying across distributed hospital electronic medical record systems. Through the use of a federated network protocol, SHRINE allows investigators to see limited data about patients meeting their study criteria without compromising patient privacy. This software should greatly enable population-based research, assessment of potential clinical trials cohorts, and hypothesis formation for followup study by combining the EHR assets across the hospital system. In order to obtain the maximum number of cases representing the study population, it is useful to aggregate patient facts across as many sites as possible. Cutting across institutional boundaries necessitates that each hospital IRB remain in control, and that their local authority is recognized for each and every request for patient data. The independence, ownership, and legal responsibilities of hospitals predetermines a decentralized technical approach, such as a federated query over locally controlled databases. The application comes with the SHRINE Core Ontology but it can be used with any ontology, even one that is disease specific. The Core Ontology is designed to enable the widest range of studies possible using facts gathered in the EMR during routine patient care. SHRINE allows multiple ontologies to be used for different research purposes on the same installed systems.

Proper citation: SHRINE (RRID:SCR_006293) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-7/search?q=*

Virtual database currently indexing interaction between genes and diseases from Online Mendelian Inheritance in Man (OMIM) and Comparative Toxicogenomics Database (CTD).

Proper citation: Integrated Gene-Disease Interaction (RRID:SCR_006173) Copy   

•   Source: SciCrunch Registry