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https://www.jefferson.edu/academics/colleges-schools-institutes/skmc/departments/neurology.html

The Department of Neurology at Jefferson Medical College has a long tradition of excellence in clinical training and care. They are committed to providing an active and exciting research program, exemplified by the Farber Institute for the Neurosciences, established in the spring of 2002. Consolidation of our academic and research base with the neurology ambulatory care facility at the new Jefferson Hospital for the Neurosciences underscores the continuing evolution of the Neurology department, and of its many functions, including, our fully approved residency program.

Proper citation: Thomas Jefferson University Neurology (RRID:SCR_007488) Copy   

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http://cardiogenomica.altervista.org/CARDIOGENOMICS/CardioGenomics%20Homepage.htm

The primary goal of the CardioGenomics PGA is to begin to link genes to structure, function, dysfunction and structural abnormalities of the cardiovascular system caused by clinically relevant genetic and environmental stimuli. The principal biological theme to be pursued is how the transcriptional network of the cardiovascular system responds to genetic and environmental stresses to maintain normal function and structure, and how this network is altered in disease. This PGA will generate a high quality, comprehensive data set for the functional genomics of structural and functional adaptation of the cardiovascular system by integrating expression data from animal models and human tissue samples, mutation screening of candidate genes in patients, and DNA polymorphisms in a well characterized general population. Such a data set will serve as a benchmark for future basic, clinical, and pharmacogenomic studies. Training and education are also a key focus of the CardioGenomics PGA. In addition to ongoing journal clubs and seminars, the PGA will be sponsoring symposia at major conferences, and developing workshops related to the areas of focus of this PGA. Information regarding upcoming events can be found in the Events section of this site, and information about training and education opportunities sponsored by CardioGenomics can be found on the Teaching and Education page. The CardioGenomics project came to a close in 2005. This server, cardiogenomics.med.harvard.edu, remains online in order to continue to distribute data that was generated by investigators under the auspices of the CardioGenomics Program for Genomic Applications (PGA). :Sponsors: This resource is supported by The National Heart, Lung and Blood Institute (NHLBI) of the NIH., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CardioGenomics (RRID:SCR_007248) Copy   

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http://www.mediacy.com/imageproplus

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18,2023. Software package to capture, process, measure, analyze and share images and data.

Proper citation: Image Pro Plus (RRID:SCR_007369) Copy   

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https://www.ttuhsc.edu/medicine/pharmacology/default.aspx

The Department of Pharmacology and Neuroscience at Texas Tech University is committed to providing a strong education experience for all trainees. The department's primary areas of training emphasis are neuroscience/ neuropharmacology and cardiovascular/ autonomic pharmacology.Our objective is to prepare students for careers in research and teaching. We currently have 14 faculty and who conduct research in a broad variety of subjects ranging from environmental toxicology to molecular pharmacology. This allows a broad basis for a strong theoretical as well as 'hands-on' education in pharmacology. The faculty of the program work hard to foster a creative and productive research atmosphere, to provide encouragement and positive challenges, and to equip students with the intellectual tools they will need to be good teachers and investigators.

Proper citation: Texas Tech University Department of Pharmacology and Neuroscience (RRID:SCR_007483) Copy   

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http://ideas.repec.org/c/boc/bocode/s360702.html

COLELMS calculates LMS values, smoothed LMS, and growth reference centiles based in smoothed LMS values. df value is set to when calculating smoothed LMS values. You are responsible for setting an appropriate df for your data. This is version 0.2 of the software. Sponsors: This resource is supported by Boston College. Keywords: Software, LMS, Calculation, Growth, Data, Stata, Module,

Proper citation: COLELMS: Stata module to calculate Coles LMS values for growth data (RRID:SCR_007244) Copy   

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http://ncmir.ucsd.edu/downloads/fido.shtm

An interactive, graphic, fiducial marking software for placing, editing and tracking fiducial marks on images in a tomography tilt series. You can also use this tool to view the tilt series as well as crop it.

Proper citation: XFido (RRID:SCR_007365) Copy   

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https://med.uth.edu/nrc/

The Neuroscience Research Center (NRC) is a university-wide center where diverse and multidisciplinary research is conducted to further the understanding of neural and behavioral disorders. Whether conducting cellular research in laboratories or clinical trials in patient care settings, the work of NRC researchers may someday contribute to preventing and treating such devastating disorders as: * Dementias resulting from Alzheimer''s disease and stroke * Mental retardation and other learning disabilities * Mental illnesses, including schizophrenia and manic-depressive illness * Alcoholism and other substance abuse problems * Inability to process knowledge due to factors such as aging and head trauma * Disabilities due to disorders of the developing nervous system More than 280 faculty hold NRC appointments, and are on the faculties of the Medical School, School of Public Health, School of Nursing, Dental Branch, and School of Biomedical Informatics. Departments with significant NRC research activities within the Medical School include Neurobiology and Anatomy; Neurology; Neurosurgery; Ophthalmology and Visual Science; Psychiatry and Behavioral Sciences and Radiology. NRC activities are guided by an executive committee appointed by the President of the Health Science Center. The Neuroscience Research Center (NRC) is affiliated with educational opportunities at the graduate and postdoctoral levels.

Proper citation: UTHealth at Houston Neuroscience Research Center (RRID:SCR_007486) Copy   

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http://www.medicine.tamhsc.edu/basic-sciences/next/index.html

The Department of Neuroscience and Experimental Therapeutics (NExT) at the Texas A&M Health Science Center College of Medicine has 16 full-time faculty members and is one of four basic science departments within the College of Medicine. Program strengths within the department include brain development, cellular/molecular basis of drug addiction, circadian biology, ocular pharmacology and experimental therapeutics, neurobiology of aging, neurodegenerative diseases such as stroke and Alzheimer''s disease, neuro-oncology and neuroteratology of alcohol, nicotine and other drugs of abuse. The Department of Neuroscience and Experimental Therapeutics participates in an interdisciplinary graduate program in the Medical Sciences that leads primarily to the Ph.D. degree with special emphasis in interdisciplinary training in Neurosciences or Pharmaceutical Sciences. The Ph.D. program in Medical Science usually requires 4-5 years to complete. Graduates from our program are prepared for leadership roles in research and teaching in academic, industrial, or governmental positions. Faculty within the department are affiliated with university-wide interdisciplinary faculties including the TAMU Faculty of Neuroscience rand our clinical science partner, the Texas Brain and Spine Institute. The department is also home to the Women''s Health in Neuroscience Program, consisting of interdisciplinary research faculty and a clinical advisory group aimed at developing a cohesive preclinical approach to the impact of puberty, pregnancy and menopause on brain development, mental health and brain disease.

Proper citation: Texas A and M Health Science Center College of Medicine Department of Neuroscience and Experimental Therapeutics (RRID:SCR_007482) Copy   

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http://www.upstate.edu/pharm/

Research in the Department of Pharmacology focuses on three major areas: 1) cardiovascular science 2) cell signaling 3) cancer biology and therapeutics. Within those areas, research ranges from basic biological problems to those with clinical orientations. The cardiovascular science research strives to understand the normal and abnormal functioning of the heart at the molecular, cellular and organ levels, and is exceptionally strong in cardiac electrophysiology and the mechanisms of cardiac arrhythmia. The cell signaling research concerns regulation of cell function by extracellular factors, the molecular biology of signaling pathways, cell communication, and intracellular proteolysis. The cancer biology and therapeutics research is focused on molecular mechanisms regulating cell death and survival in human malignancies, development and testing of novel cancer therapeutics, novel tumor markers, oncogenic transformation and apoptosis, regulation of tumor suppressors and molecular mechanisms of leukemogensis. The Pharmacology Department has multiple research grants for the next five years. Most of the funding comes from the National Institutes of Health (NIH), with additional funding from the Association for International Cancer Research, the American Society of Hematology, the Department of Defense and the American Heart Association.

Proper citation: SUNY Upstate Medical University, Pharmacology (RRID:SCR_007481) Copy   

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http://www.usal.es/webusal/en

Spanish higher education institution, located in the city of Salamanca, west of Madrid, in the autonomous community of Castile and León. It was founded in 1134 and given the Royal charter of foundation by King Alfonso IX in 1218.

Proper citation: University of Salamanca; Salamanca; Spain (RRID:SCR_007833) Copy   

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http://purl.bioontology.org/ontology/SPTO

Ontology for Solanaceae crop phenotypes and traits, developed in collaboration with the research community, especially for breeder traits of agronomic importance.

Proper citation: Solanaceae Phenotype Ontology (RRID:SCR_007832) Copy   

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http://bmserver.sce.ntu.edu.sg/INVERTER/

Software for a de novo exact match tandem repeat finder which main advantage is without the need to specify either the pattern or a particular pattern size, integrated with a data visualization tool and has a built-in user-friendly Graphical User Interface.

Proper citation: INVERTER (RRID:SCR_007956) Copy   

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http://thomsonreuters.com/metacore/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. An integrated software suite for functional analysis of experimental data. The scope of data types includes microarray and SAGE gene expression, SNPs and CGH arrays, proteomics, metabolomics, pathway analysis, Y2H and other custom interactions. MetaCore is based on a proprietary manually curated database of human protein-protein, protein-DNA and protein compound interactions, metabolic and signaling pathways and the effects of bioactive molecules in gene expression.

Proper citation: MetaCore (RRID:SCR_008125) Copy   

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http://medgene.med.harvard.edu/MEDGENE/

An algorithm that generates lists of genes associated with a gene or one or more disorders. The algorithm can be used in high-throughput screening experiments, can create disease-specific micro-arrays, and can sort the results of gene profiling data. Based on the co-citations of all Medline records, MedGene can retrieve the following relationships: 1. A list of human genes associated with a particular human disease in ranking order 2. A list of human genes associated with multiple human diseases in ranking order 3. A list of human diseases associated with a particular human gene in ranking order 4. A list of human genes associated with a particular human gene in ranking order 5. The sorted gene list from other disease related high-throughput experiments, such as micro-array 6. The sorted gene list from other gene related high-throughput experiments, such as micro-array

Proper citation: MedGene (RRID:SCR_008122) Copy   

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http://brancusi1.usc.edu/thesaurus/list/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19,2022. The BAMS Thesaurus is a part of the larger BAMS The Foundational Model of Connectivity (FMC). The principle of constructing the resource are: 1. Systematic attempts to produce internally consistent classifications and taxonomies require theoretical frameworks for deciding between alternatives. 2. Alternate classification and taxonomy schemes are always possible and must be accommodated. 3. The FMC is based on evidence, not authority. All components are justified by reference to the best observational or experimental evidence from the literature, combined with reference to priority when possible, not by undocumented statements from textbooks, the Web, or elsewhere. 4. The FMC is based on evolving evidence and concepts, revisions are based on enforced rules, and versioning is systematic and historical. The first version of FMC and the foundation of this online version was published in Swanson & Bota (2010). Please cite this reference whenever any part of the FMC is used in any way. This online version of FMC has the following main parts: 1. Thesaurus, which includes an alphabetical list of all concepts and terms used in FMC to date. The preferred terms are in bold. Clicking on each term of the Thesaurus will retrieve its definition, reference, list of synonyms, and a comment form that can be used by registered users. 2. References, which includes an alphabetical list of the literature used to construct FMC. Listed references are associated with the definitions included in the Thesaurus, and PubMed links. 3. Search form that can be used to search for terms defined in FMC, included in their definitions, their abbreviations, and references (search by authors). We strongly recommend to read FMC rules and notations before starting to use the online version.

Proper citation: BAMS Thesaurus (RRID:SCR_008003) Copy   

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http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/

Allow the high-performance display of next-generation sequencing experiment results in the UCSC Genome Browser.

Proper citation: BigWig and BigBed (RRID:SCR_007708) Copy   

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https://code.google.com/p/highssr/

Software that predicts microsatellites with Tandem Repeats Finder (TRF).

Proper citation: HighSSR (RRID:SCR_007949) Copy   

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http://www.nmpdr.org/FIG/wiki/view.cgi

The National Microbial Pathogen Data Resource provides curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma. This edition of the NMPDR includes 47 archaeal, 725 bacterial, and 29 eukaryal genomes with 3,257,100 genetic features, of which 1,338,895 are in FIGfams curated using 616 active subsystems. ''''''Notice to NMPDR Users'''''' - The NMPDR BRC contract ended in December 2009. At that time we ceased maintenance of the NMPDR web resource and data. Bacterial data from NMPDR has been transferred to PATRIC (http://www.patricbrc.org), a new consolidated BRC for all NIAID category A-C priority pathogenic bacteria. NMPDR was a collaboration among researchers from the Computation Institute of the University of Chicago, the Fellowship for Interpretation of Genomes (FIG), Argonne National Laboratory, and the National Center for Supercomputing Applications (NCSA) at the University of Illinois.

Proper citation: NMPDR (RRID:SCR_007821) Copy   

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http://genotan.sourceforge.net/

A free software tool to identify length variation of microsatellites from short sequence reads.

Proper citation: GenoTan (RRID:SCR_007935) Copy   

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http://www.med.upenn.edu/nscience/

The Department of Neuroscience is located in the School of Medicine at the University of Pennsylvania. Founded in 1992 to recognize the growing importance of neuroscience as a scientific discipline, the Department laboratories pursue a wide variety of research interests reflecting the entire range of modern neuroscience. The Department lies at the heart of the campus-wide Mahoney Institute of Neurological Sciences, the first research organization to receive NIH funding for training in the neurosciences.

Proper citation: University of Pennsylvania Medical Center Neuroscience (RRID:SCR_007978) Copy   

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