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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://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://www.nibb.ac.jp/brish/indexE.html

Database of detailed protocols for single and double in situ hybridization (ISH) method, probes used by Yamamori lab and others useful for studies of brain, and many photos of mammalian (mostly mouse and monkey) brains stained with various gene probes. Also includes a brain atlas of gene expression. Currently, the atlas comprises a series of un-annotated images showing the localization of a particular probe or molecule, e.g., AChE.

Proper citation: BraInSitu: A homepage for molecular neuroanatomy (RRID:SCR_008081) 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://www.gene-regulation.com/pub/programs.html

In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers access to their tools. Programs that are available through this portal are: * AliBaba 2.1: AliBaba2 is a program for predicting binding sites of transcription factor binding sites in an unknown DNA sequence. Therefore it uses the binding sites collected in TRANSFAC. AliBaba2 is currently the most specific tool for predicting sites. * Boxshade 3.3.1: Pretty Printing and Shading of Multiple-Alignment files. * ClustalW 1.8: ClustalW Multiple Sequence Alignment Program. * Dialign2.0: Multiple Sequence Alignment Program. * F-Match 1.0: F-MATCH is a program for identifying statistically overrepresented Transcription Factor Binding Sites (TFBS) in a set of sequences compared against a control set, assuming a binomial distribution of TFBS frequency. The program reads MATCH output files for the query and control sets. F-Match uses a library of mononucleotide weight matrices from TRANSFAC 6.0 * Match 1.0 Public: Match is designed for searching potential binding sites for transcription factors (TF binding sites) nucleotide sequences. MatchTM uses a library of mononucleotide weight matrices from TRANSFAC 6.0 * molwSearch 1.0: Search for transcription factors with a certain molecular weight. * P-Match 1.0: P-Match is a new tool for identifying transcription factor binding sites (TF binding sites) in DNA sequences. It combines pattern matching and weight matrix approaches thus providing higher accuracy of recognition than each of the methods alone. P-Match uses a library of mononucleotide weight matrices from TRANSFAC 6.0 along with the site alignments associated with these matrices. * Patch 1.0: Search for potential transcription factor binding sites in your own sequences with the pattern search program using TRANSFAC 6.0 public sites. * m2transfac 1.0: m2transfac is a PWM-PWM alignment interface for the TRANSFAC(R) database. For given user motifs, m2transfac reports all non-overlapping pairwise alignments to a TRANSFAC(R) matrix which satisfy a specified threshold. * MatrixCatch 2.7: The MatrixCatch tool is designed for searching potential composite elements (CEs) for transcription factors (TFs) in any DNA sequence, which may be of interest. MatrixCatch uses a library of CE matrix models, which were compiled on a basis of experimentally identified CEs collected in TRANSCOMPEL database and mononucleotide weight matrices for single TF-binding sites collected in TRANSFAC 6.0 public database. * Composite Module Analyst (CMA) 1.0: CMA reads output of Match program and applies a genetic algorithm in order to define promoter models based on the composition of transcription factor binding sites and their pairs. * PolyA Scan 0.000707: Scanning a Sequence for potential Polyadenylation Sites. * ReadSeq 2.0: ReadSeq reads and writes nucleic/protein sequences in various formats. * SignalScan: Analysis of DNA Sequences for known Eukaryotic Signals * SbBlast 1.0: Search Tool for Sequence Search in the S/MARt Binder Database. SbBlast makes use of the BLAST Sequence Similarity Search Tool - Version 2.0.13 (May-26-2000). * SnpFind 0.3: SNPFIND is a tool for searches in the Database of Single Nucleotide Polymorphisms. The search algorithm used for the database search is the BLAST algorithm. * TfBlast 0.1: Search Tool for Sequence Search in the TRANSFAC Factor Table. SbBlast makes use of the BLAST Sequence Similarity Search Tool - Version 2.0.13 (May-26-2000).

Proper citation: Gene Regulation Programs (RRID:SCR_007787) Copy   

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http://www.saltlakecity.va.gov/psychology_postdoc/index.asp

This web site is an overview of the post-doctoral psychology training program at the VA Salt Lake City Health Care System (VA SLC HCS). Its purpose is to help prospective psychology post-docs learn about the training and professional growth opportunities that are available. The VA Salt Lake City Health Care System postdoctoral fellowship is a full-time, 12-month continuous appointment focused on specialty training in the evaluation and treatment of veterans with Post-Traumatic Stress Disorder. Postdoctoral Fellows will be active members of two interdisciplinary treatment teams: - The PTSD Clinical Team through the Mental Health Department - The Polytrauma Team through the Physical Medicine and Rehabilitation Department. Fellows will also provide community outreach to returning veterans from Afghanistan and Iraq. Especially relevant to the VA Mental Health Strategic Plan, psychological services are provided within the complementary areas of emotional trauma (e.g., military combat, military sexual trauma), physical trauma (e.g., TBI, orthopedic injuries), substance abuse, and couples/family discord, primarily within the OEF/OIF veteran population. Sponsors: This work is funded by the US Department of Veterans Affairs, Salt Lake City.

Proper citation: Psychology Post-doctoral Training Program, US Department of Veterans affairs, Salt Lake City, UT (RRID:SCR_008076) Copy   

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http://sig.biostr.washington.edu/projects/brain/

The UW Integrated Brain Project is one project within the national Human Brain Project, a national multi-agency effort to develop informatics tools for managing the exploding amount of information that is accumulating about the human brain. The objective of the UW Integrated Brain Project effort is to organize and integrate distributed functional information about the brain around the structural information framework that is the long term goal of our work. This application therefore extends the utility of the Digital Anatomist Project by using it to organize non-structural information. The initial driving neuroscience problem that is being addressed is the management, visualization and analysis of cortical language mapping data. In recent years, advances in imaging technology such as PET and functional MRI have allowed researchers to observe areas of the cortex that are activated when the subject performs language tasks. These advances have greatly accelerated the amount of data available about human language, but have also emphasized the need to organize and integrate the sometimes contradictory sources of data, in order to develop theories about language organization. The hypothesis is that neuroanatomy is the common substrate on which the diverse kinds of data can be integrated. A result of the work done by this project is a set of software tools for generating a 3-D reconstruction of the patient''s own brain from MRI, for mapping functional data to this reconstruction, for normalizing individual anatomy by warping to a canonical brain atlas and by annotating data with terms from an anatomy ontology, for managing individual lab data in local laboratory information systems, for integrating and querying data across separate data management systems, and for visualizing the integrated results. Sponsors: This Human Brain Project research is funded jointly by the National Institute on Deafness and Other Communication Disorders, the National Institute of Mental Health, and the National Institute on Aging.

Proper citation: University of Washington Integrated Brain Project (RRID:SCR_008075) Copy   

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http://www.gladstone.ucsf.edu/gladstone/site/gind/

GIND provides a highly interactive academic environment and state-of-the-art research facilities that are ideal for training in neuroscience and biomedical research. GIND Investigators hold university appointments at UCSF and participate in educational activities, including the teaching and training of graduate students and postdoctoral fellows. Additionally, GIND is actively engaged in efforts to translate scientific discoveries into better treatments for major diseases of the nervous system. Sponsors: Support for GIND comes from the University of California at San Francisco.

Proper citation: Gladstone Institute of Neurological Disease (RRID:SCR_008072) Copy   

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http://mmil.ucsd.edu/

An interdisciplinary group of scientists and clinicians who study the human brain using a variety of imaging, recording, and computational techniques. Their primary goal is to bridge non-invasive imaging technologies to the underlying neurophysiology of brain neuronal circuits for a better understanding of healthy human brain function, and mechanisms of disruption of this function in diseases such as Alzheimer's, epilepsy and stroke. The other goal of the MMIL is to develop and apply advanced imaging techniques to understanding the human brain and its disorders. In order to ground these methodological developments in their underlying neurobiology, invasive studies in humans and animals involving optical and micro physiological measures are also performed. These methodologies are applied to understanding normal function in sleep, memory and language, development and aging, and diseases such as dementia, epilepsy and autism.

Proper citation: Multimodal Imaging Laboratory (RRID:SCR_008071) 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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http://enhancer.lbl.gov/

Resource for experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. Central public database of experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to particular tissue, or download entire collections of enhancers with defined tissue specificity or conservation depth.

Proper citation: VISTA Enhancer Browser (RRID:SCR_007973) Copy   

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http://cor.physiol.ox.ac.uk/

Cellular Open Resource is a Microsoft Windows environment for cellular modeling that is built around CellML (except for reactions and metadata which are not supported). It offers, through CellML, an ''out of the box'' access to a large database of single cell models. COR was among the early adopters of this standard, eventually forming the first publicly available CellML-based modeling and collaboration environment. From the onset, COR was designed to provide an environment that could not only be used by experienced modelers, but also by experimentalists, teachers and students. It therefore tries to combine a user-friendly interface with a computationally efficient numerical engine. In this paper, we introduce the philosophy behind COR, explain its user interface and current functionality, including the editing and running of CellML files, highlight lessons learned from user feedback and problems experienced during the development of COR and conclude by exploring future development potential. Sponsors: This study has been supported by a grant from the UK Biotechnology and Biological Sciences Research Council (BB/E024955/1). Keyword: Cell, Model, Cellular, Modeling, Open resource, Microsoft, Environment, Database, Experimentalist, Teacher, Student, Modeler, Computationally, Development,

Proper citation: Cellular Open Resource (RRID:SCR_008022) Copy   

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http://www.buzsakilab.com/

Lab interested in understanding how neuronal circuitries of the brain support its cognitive capacities. Its goal is to provide rational, mechanistic explanations of cognitive functions at a descriptive level. In the lab''s view, the most promising area of cognitive faculties for scientific inquiry is memory, since it is a well-circumscribed term, can be studied in animals and substantial knowledge has accumulated on the molecular mechanisms of synaptic plasticity. Available software: * NeuroScope: NeuroScope can display local field potentials (EEG), neuronal spikes, behavioral events, as well as the position of the animal in the environment. It also features limited editing capabilities. * Klusters: Klusters is a powerful and easy-to-use cluster cutting application designed to help neurophysiologists sort action potentials from multiple neurons on groups of electrodes (e.g., tetrodes or multisite silicon probes). * KlustaKwik: KlustaKwik is a program for automatic cluster analysis, specifically designed to run fast on large data sets. * MATLAB m-files: A selection of MATLAB files developed in the lab., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Buzsaki Lab (RRID:SCR_008020) Copy   

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

Growth, trait and development ontology for soybean

Proper citation: Soy Ontology (RRID:SCR_007847) Copy   

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http://www.hpid.org

Database that provides human protein interaction information and integrated interaction and also finds proteins from databases that can potentially react with proteins submitted by users. The human protein interaction information was pre-computed by a statistical method from existing structural and experimental data, while the integrated human protein interactions are derived from BIND, DIP and HPRD. A score composed of three parts is assigned to the predicted interaction data, and those interactions with high scores were found reliable. HPID allows the user to use the protein IDs in EMBL, Ensembl, MIM, RefSeq, HPRD and NCBI to search protein interactions of interest. A set of web-based software tools has also been developed so that users can visualize and analyze protein interaction networks.

Proper citation: HPID - Human Protein Interaction database (RRID:SCR_007724) Copy   

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http://www.alzheimers.org.au/

A website which provides in-depth fact sheets on aspects of dementia and dementia care. It provides information on member organizations in each state, support and respite services as well as counseling and education available through Alzheimer's Australia. This organization's vision is for a society committed to the prevention of dementia, while valuing and supporting people living with dementia. Alzheimer's Australia manages a wide range of innovative National Programs which provide information, support, counseling, training and education to people with dementia, their families and carers as well as to professionals working in the dementia field.

Proper citation: Alzheimer's Australia: Living with Dementia (RRID:SCR_008015) Copy   

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https://www.har.mrc.ac.uk

UK’s national facility for mouse genetics and use of mouse models for preclinical study of human disease.Offers services to researchers around the world. Services include free archiving of mouse lines to protect them for future use, distribution of mouse lines from the Archive, breeding and phenotyping of genetically altered mice, and genome engineering services to generate new mouse models.Offers archiving and distribution of mouse lines to safeguard germplasm collected from unique strains and make it readily available to the scientific community.

Proper citation: Medical Research Council Harwell: An International Centre for Mouse Genetics (RRID:SCR_008013) Copy   

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http://www-bird.jst.go.jp/index_e.html

BIRD''s mission is to aid the progress of bioinformatics and promote creation of new biology, which has computational, deductive, predictive, and theoretical features. (most of this site is in Japanese) To carry out its responsibilities, BIRD: * Promotes appropriate development of bioinformatics research and development, such as what kinds of databases and analysis software should be developed and what kind of computer facilities are needed for that development. * Maintains the computer environment and network and functions as a funding agency to further promotion plans. * Develops basic databases: genome sequence database, protein 3D structure database, gene expression profile database, molecular interaction database, etc. * Conducts and coordinates integration, enhancement, and standardization of the basic databases. * Develops computing tools for analyzing various kinds of biological and experimental data, data mining from databases, computer simulation of living systems and so on. * Develops ontologies necessary for data and knowledge description of databases storing biological functions and integration of the basic databases. * Conducts and coordinates research and development of innovative and creative technologies and theories which move toward understanding life as an information system, especially approaches by collaboration of computer scientists and experimental scientists. * Provides computer facilities for developing databases and software and making them publicly available. * Sets up training courses for teaching utilization of databases and tools for novices in bioinformatics and sponsors scientific meetings. * Provides community space with high performance computing facilities where innovative ideas are cultivated by free discussion and "trial and error" with the computer in order to promote development of young scientists who will create new biological discoveries based on bioinfomatics and become leaders in the field.

Proper citation: BIRD - Bio Info R and D (RRID:SCR_008010) Copy   

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