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http://hearingimpairment.jax.org/screening.html

The fairly common occurrence of hearing-loss or deafness in both humans and mice, and the anatomical and functional similarities of their inner ears, attest to the potential of mice as models to study hereditary hearing loss. Hundreds of standard inbred, recombinant inbred, and congenic strains are maintained at The Jackson Laboratory, as well as hundreds of inbred strains with spontaneous or induced mutations. To assess hearing impairment in inbred and mutant strains of mice we measure auditory-evoked brainstem response (ABR) thresholds.

Proper citation: The Jackson Laboratory Hearing Research Program (RRID:SCR_007196) Copy   

•   Source: SciCrunch Registry

https://www.icts.uiowa.edu/confluence/dashboard.action

A group of software packages for image analysis, mainly used in MRI image processing. BRAINS (Brain Research: Analysis of Images, Networks, and Systems) contains manual and automated tools for structural identification and methods for tissue classification and cortical surface generation. BRAINS2 is most commonly used to analyze magnetic resonance (MR) scans, but the package can also be used to analyze images acquired with positron emission tomography (PET), single photon emission computed tomography (SPECT), and functional magnetic resonance (fMR). It is implemented in an object-oriented, cross-platform compatible manner and includes a toolbar and command line interface, a graphical interface, and a computational kernel.

Proper citation: Brain Research: Analysis of Images, Networks and Systems (RRID:SCR_007357) Copy   

•   Source: SciCrunch Registry

http://archive.cnbc.cmu.edu/Resources/disordermodels/index.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This site aims to provide a discussion and source list for connectionist and neural network models of disorders associated with mental or brain conditions. Recent connectionist and neural network models of behavior, information processing patterns, and brain activity present in people with cognitive, affective, brain, and behavioral disorders are reviewed on this web site. Ways that assumptions regarding normal and disordered behavior may be represented in connectionist models are discussed for features of various disorders. Similarities and differences between the models and criteria for their evaluation are presented, and suggestions for inclusion of information which may help to make these models more directly comparable in the future are considered. References to Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders include: General Neural Network Information Reviews, General Introductions, and Calls for More Connectionist Models of Mental Disorders Models of Psychopathologies and Psychiatric Disorders Models of Cognitive, Affective, Brain, and Behavioral Disorders Not Associated with Psychopathology Additionally, Web Sites for Neural Network Modelers of Disorder are provided.

Proper citation: Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders (RRID:SCR_008088) Copy   

•   Source: SciCrunch Registry

http://brainspan.org/

Atlas of developing human brain for studying transcriptional mechanisms involved in human brain development. Consists of RNA sequencing and exon microarray data profiling up to sixteen cortical and subcortical structures across full course of human brain development, high resolution neuroanatomical transcriptional profiles of about 300 distinct structures spanning entire brain for four midgestional prenatal specimens, in situ hybridization image data covering selected genes and brain regions in developing and adult human brain, reference atlas in full color with high resolution anatomic reference atlases of prenatal (two stages) and adult human brain along with supporting histology, magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) data.

Proper citation: Allen Human Brain Atlas: BrainSpan (Atlas of the Developing Brain) (RRID:SCR_008083) Copy   

•   Source: SciCrunch Registry

http://genomics.senescence.info/

Collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses. A major resource in HAGR is GenAge, which includes a curated database of genes related to human aging and a database of ageing- and longevity-associated genes in model organisms. Another major database in HAGR is AnAge. Featuring over 4,000 species, AnAge provides a compilation of data on aging, longevity, and life history that is ideal for the comparative biology of aging. GenDR is a database of genes associated with dietary restriction based on genetic manipulation experiments and gene expression profiling. Other projects include evolutionary studies, genome sequencing, cancer genomics, and gene expression analyses. The latter allowed them to identify a set of genes commonly altered during mammalian aging which represents a conserved molecular signature of aging. Software, namely in the form of scripts for Perl and SPSS, is made available for users to perform a variety of bioinformatic analyses potentially relevant for studying aging. The Perl toolkit, entitled the Ageing Research Computational Tools (ARCT), provides modules for parsing files, data-mining, searching and downloading data from the Internet, etc. Also available is an SPSS script that can be used to determine the demographic rate of aging for a given population. An extensive list of links regarding computational biology, genomics, gerontology, and comparative biology is also available.

Proper citation: Human Ageing Genomic Resources (RRID:SCR_007700) Copy   

•   Source: SciCrunch Registry

http://stroke.nih.gov/

Campaign to help educate the public about the symptoms of stroke and the importance of getting to the hospital quickly, with a wide range of materials about stroke prevention, treatment, and rehabilitation available through the site. The campaign includes outreach to consumers and health care professionals using mass media, grassroots outreach, partnerships, and community education.

Proper citation: Know Stroke Campaign (RRID:SCR_008073) Copy   

•   Source: SciCrunch Registry

http://www.dnaftb.org/dnaftb/

An animated primer on the basics of DNA, genes, and heredity organized around three key concepts: Classical Genetics, Molecules of Genetics, and Genetic Organization and Control. The science behind each concept is explained by: animation, image gallery, video interviews, problem, biographies, and links.

Proper citation: DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity (RRID:SCR_008028) Copy   

•   Source: SciCrunch Registry

http://organelledb.lsi.umich.edu/

Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light.

Proper citation: Organelle DB (RRID:SCR_007837) Copy   

•   Source: SciCrunch Registry

http://www.webmd.com/

WebMD has created an organization that we believe fulfills the promise of health information on the Internet. We provide credible information, supportive communities, and in-depth reference material about health subjects that matter to you. We are a source for original and timely health information as well as material from well known content providers. The WebMD content staff blends award-winning expertise in journalism, content creation, community services, expert commentary, and medical review to give our users a variety of ways to find what they are looking for. And that, we believe, requires dedicated, full-time staff professionals with state-of-the-art expertise in: * Health news for the public * Creating and maintaining up-to-date medical reference content databases * Medical imagery, graphics, and animation * Communities * Live web events * User experience * Interactive tools Our board-certified physicians, award-winning journalists, and trained community moderators are solely dedicated to your daily information experience on WebMD. Our content staff includes individuals who hold advanced degrees in journalism, medical illustration, health communications, clinical informatics, nursing, and medicine. WebMD verifies the qualifications of all medical professionals on the site; including health professionals, experts, editorial professionals and contributors with a specialty license. You may search for information or use the Health A-Z option. Additionally, Drugs & Supplements, Living Healthy, Eating & Diet, Parenting & Pregnancy, Teen Health, and Pet Health tabs are available.

Proper citation: WebMD (RRID:SCR_004567) Copy   

•   Source: SciCrunch Registry

http://www.biak.us/

At Brain Injury Alliance of Kentucky (BIAK), a 501(c)(3) non-profit agency, our sole mission is to serve Kentucky citizens whose lives have been affected by brain injury. We do this through advocacy, education, prevention, research, service and support. BIAK links survivors of brain injury and their families to support from others with similar experience; provides them with education and information about living and coping with brain injury; assists them in locating resources for financial assistance; and seeks to connect people with sources of emotional support. BIAK began as an outgrowth of a Lexington area support group in the early 1980s. Family members, medical staff and others felt the need to expand the services and support to reach statewide. The state office was moved to Louisville and incorporated in 1986. BIAK now has offices and staff in Louisville and Lexington. BIAK seeks to share its philosophy, experience and skills with survivors, family members, students, caregivers, administrators, health professionals, legislators, the lay community and all those who desire to make a difference in the life of individuals with brain injuries and their families. At BIAK you will find information about brain injury. We define brain injury as any injury to the brain including injury received from a fall, a stroke, trauma, anoxia, infection, and tumors or other illnesses. Each year, a growing number of Kentucky citizens are affected by brain tumors. These may range from benign tumors to aggressive cancers. The Michael Quinlan Brain Tumor program recently joined BIAK to provide service and support to individuals and families who have been affected by brain tumors. There is always help available to you and your family.

Proper citation: Brain Injury Alliance of Kentucky (RRID:SCR_004764) Copy   

•   Source: SciCrunch Registry

http://www.fightplga.org/

The Pediatric Low Grade Astrocytoma (PLGA) Foundation is the largest, and only, non-profit organization dedicated to providing hope to children, parents, and families fighting Pediatric Low Grade Astrocytomas (PLGAs). We were founded in August 2007, as a 501(c)(3) foundation made up of families and friends dedicated to helping children who are struggling with brain tumors. To date, families associated with the Pediatric Low Grade Astrocytoma (PLGA) Foundation have raised over $6 million for DEDICATED PLGA research and funded over a dozen new research projects targeted specifically at children''s brain tumors or PLGA''s. These funds have supported the launch of the Dana Farber Cancer Institute''s PLGA Research Program as well as numerous grants distributed by the Brain Tumor Society, and other fine institutions. The PLGA Foundation awards 100% of funds to education and research in the search for more effective, less toxic treatment options for this potentially devastating childhood brain tumor. The PLGA Foundation actively promotes partnerships with other non-profit organizations, private individuals and government entities and has collaborated on fund raising, education and grant allocations in order to leverage resources and funds. Our goal at the Pediatric Low Grade Astrocytoma (PLGA) Foundation, also known as Fight Juvenile Pilocytic Astrocytoma (FightJPA.org), is to UNITE families around the country and around the world in the FIGHT for the lives of our children who suffer from PLGAs - childhood brain tumors. We can defeat childhood brain tumors through a united effort on all fronts to increase awareness, education, fundraising and research of pediatric low grade astrocytomas.

Proper citation: Pediatric Low Grade Astrocytoma Foundation (RRID:SCR_004758) Copy   

•   Source: SciCrunch Registry

http://birdgenenames.org/cgnc/

International group of researchers interested in providing standardized gene nomenclature for chicken genes. A Chicken Gene Annotation Tool is available from CGNC-UK which assigns chicken nomenclature based on predicted orthology to human genes. The CGNC-US database includes CGNC-UK information and adds manually biocurated from biocurators and interested contributors. A Human Chicken Ortholog Predictions Search is available. Both resources are part of a united CGNC effort and nomenclature data is shared and co-ordinated between these two resources. They strongly encourage researchers with domain knowledge to participate in this nomenclature effort by requesting a login and providing gene nomenclature for their genes of interest. Please contact them for further information or assistance. The AGNC works in conjunction with public resources such as NCBI and Ensembl and in consultation with existing nomenclature committees, including the Chicken Gene Nomenclature Committee (CGNC). The Avian and Chicken nomenclature efforts are co-ordinated and chicken data is shared between these two groups.

Proper citation: Chicken Gene Nomenclature Consortium (RRID:SCR_004966) Copy   

•   Source: SciCrunch Registry

http://www.startthecure.com/

South Texas Accelerated Research Therapeutics (START) directs clinical trials of novel anticancer agents using a high quality and innovative information technology infrastructure to ensure accurate and rapid clinical trials in a setting that emphasizes personalized and compassionate clinical care. START''s head office is located in San Antonio, Texas, in the heart of the South Texas Medical Center. With centers located in San Antonio, Texas and Madrid, Spain, START conducts the world''s largest Phase I medical oncology program putting more than 400 patients per year on Phase I trials. Patients travel from all over the world to participate in one or more of our Phase I drug trials. START consists of a team of highly trained physicians and staff with extensive experience in Phase I clinical trials research and are nationally recognized as thought leaders in cancer research and drug development. The mission of START is to accelerate the development of new anticancer drugs that will improve the quality of life and survival for patients with cancer. Our drug development program is not only furthering cancer research, but also offers hope to patients facing the toughest cancer battles.

Proper citation: South Texas Accelerated Research Therapeutics (RRID:SCR_004867) Copy   

•   Source: SciCrunch Registry

http://www.pantherdb.org/

System that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in absence of direct experimental evidence. Orthologs view is curated orthology relationships between genes for human, mouse, rat, fish, worm, and fly., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PANTHER (RRID:SCR_004869) Copy   

•   Source: SciCrunch Registry

http://neuroscienceblueprint.nih.gov/factSheet/MicronCon.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2012. (no longer being funded) The NIH Microarray Consortium provides for-fee services to a community of NIH grantees, together with a more limited set of services to the public. The primary goal of this consortium is to move basic and translational research forward through acquisition and dissemination of high quality genomic data. This site includes a repository of microarray data sets and offers one-click links to public projects. These datasets were generated by various researchers on these platforms: Affymetrix, Agilent, Ambion, cDNA, Illumina, and Operon. The species currently covered are: Arabidopsis, Bovine, chicken, C. Elegans, Drosophila, Human, Macaca mulatta (Rhesus macaque), Mouse, Rat, Songbird, Xenopus, Yeast, and zebra finch. Basic search functions allows users to choose multiple options for finding the projects that interest them, and raw data files can also be downloaded after user registration. Web-based data analysis tools are also available. Scientists can analyze microarray data from the consortium repository or investigators can upload outside data for analysis.

Proper citation: NIH Neuroscience Microarray Consortium (RRID:SCR_004930) Copy   

•   Source: SciCrunch Registry

http://neuromorphometrics.com

Neuromorphometrics provides brain labeling and measurement services. Given raw MRI brain scans, we make precise quantitative measurements of the volume, shape, and location of specific neuroanatomical structures. Web tool for brain measurement services. Used for modeling living human brain and make quantitative measurements of volume, shape, and location of specific neuroanatomical structures using given MRI brain scans. Automated analyses are manually guided, inspected and certified by a neuroanatomical expert. Resource of neuroanatomically labeled MRI brain scans database. Resource for neuroanatomical localization and identification: NeuAtlas.

Proper citation: Neuromorphometrics (RRID:SCR_005656) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

1200+ ''resting state'' functional MRI (R-fMRI) datasets independently collected at 33 sites and donated by the principal investigators for the purpose of providing the broader imaging community complete access to a large-scale functional imaging dataset. Age, sex and imaging center information are provided for each of the datasets. In accordance with HIPAA guidelines, all datasets are anonymous, with no protected health information included. We anticipate this data-sharing effort will equip researchers with a means of exploring and refining R-fMRI approaches, and facilitate the growing ethos of sharing and collaboration. Disclaimer: The ''1000 Functional Connectomes Project'' datasets are provided freely without assurance of quality or appropriateness for usage.

Proper citation: FCP Classic Data Sharing Samples (RRID:SCR_005362) Copy   

•   Source: SciCrunch Registry

http://www.massgeneral.org/children/services/treatmentprograms.aspx?id=1614

The Lurie Center for Autism is a highly successful program designed to evaluate and treat children and adults with a wide variety of developmental and handicapping conditions. Our mission is to provide the highest quality clinical, social and support services to those diagnosed with autism, pervasive developmental disorders and other developmental disabilities. The Lurie Center for Autism is unique because of the population it serves and because it uses a multidisciplinary approach that begins with comprehensive medical evaluations and extends to supporting the well-being of patients and families. Nurses, social workers, speech pathologists, occupational therapists, physical therapists, neuro-psychologists, special education professionals and family members are involved in the treatment processes in addition to physicians. Each has a depth of expertise in his/her respective field. The team, as a unit, plays an integral role in the continuum of care for individuals diagnosed with developmental disabilities. Our services and therapies include: * Extensive diagnostic evaluations * Medical, cognitive and behavioral interventions including speech and language * Speech therapy, occupational therapy, occupational with sensory integration therapy and physical therapy; psychological evaluation and counseling; * Parent skills training and family empowerment * Referral support for additional medical and educational resources at locations near each patient''s home and throughout the New England region The Lurie Center for Autism is committed to improving the medical, social and psychological well-being of children, adolescents, adults and families. To this end, our goals and objectives are to: * Provide a stable, consistent and structured environment within a medical context * Provide opportunities for each individual to achieve * Develop self control, social skills and self esteem in each individual * Support and educate families in order to transfer the learned skills to home, school, work and community environments * Provide teaching to physicians and professionals in training and to pursue research related to the treatment and causes of autism, pervasive developmental disorders and other devlopmental disorders of the central nervous system

Proper citation: Lurie Center for Autism (RRID:SCR_005456) Copy   

•   Source: SciCrunch Registry

http://nlmfoundation.org/

The primary mission of the Nancy Lurie Marks (NLM) Family Foundation is to help people with autism lead fulfilling and rewarding lives. The Foundation is committed to understanding autism from a scientific perspective, increasing opportunities and services available to the autism community and educating the public about autism. In pursuit of its mission, the Foundation develops and provides grants to programs in research, clinical care, policy, advocacy and education. Founded by Nancy Lurie Marks over 25 years ago, the NLM Family Foundation is one of the largest supporters of initiatives in these areas. The principal goal of the scientific program is to achieve a deeper understanding of the biological basis of autism, focusing on genetics, synaptic chemistry, the neurobiology of communication, systems biology and the physiology of movement. The Foundation funds peer-reviewed research, the development of collaborative investigator projects, and research fellowship programs. Through sponsorship of scientific conferences, symposia and workshops, the Foundation seeks to encourage innovation and provide a springboard to generate new avenues of shared inquiry. The NLM Family Foundation supports programs which focus on novel ways to improve the communication and social abilities of those with autism. Other programs are designed to increase advocacy for legal rights and access to support services for persons with autism, and to increase community understanding and openness to inclusion through education and documentary films.

Proper citation: Nancy Lurie Marks Family Foundation (RRID:SCR_005455) Copy   

•   Source: SciCrunch Registry

http://phenotype.mc.vanderbilt.edu/

Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group

Proper citation: PheKB (RRID:SCR_005292) Copy   

•   Source: SciCrunch Registry