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The Department of Neurology and Neuroscience at NewYork-Presbyterian Hospital/Weill Cornell Medical Center is considered one of the premier academic neurology departments in the world. The department has over eighty faculty members focusing on the education of medical students, interns, residents and graduate students, on all aspects of the Neurological systems. The department also offers a two-year postdoctoral specialty training program and CME courses. The Department currently has several thousand square feet of research space, 25,000 square feet of clinical outpatient office space, a 30-bed dedicated inpatient unit and an 11-bed Neurological Intensive Care Unit. Last year, our clinical neurologists had over 23,000 patient care visits in our offices. In 2008, five of our faculty members were voted Best Doctors in New York Magazine and US News and World Report ranked NewYork-Presbyterian Hospital services in neurology and neurosurgery #1 in New York City and #5 in the United States. Our Department attracts the best and brightest graduates of medical schools from around the world to our residency training program, and many of our trainees go on to lead other academic departments. Our department continues to expand in all of its fundamental missions treating patients with neurologic disorders, performing research, and teaching medical students and residents in Neurology. One of the key missions of the department is to translate critical research advances discovered in our laboratories to benefit, treat and possibly cure a wide array of neurological diseases.
The Department of Neuroscience is a basic science department within the College of Physicians and Surgeons at the Columbia University Medical Center. The 35 faculty members in the department use a wide range of approaches to study fundamental aspects of neural circuit development, organization, and function. They share a common goal of relating the biology of such circuits to the control of behavior. A broad array of animal models, as well as human subjects, are examined using a wide range of approaches, including electrophysiology, biophysics, molecular and cell biology, systems neuroscience, imaging, behavior and theory. Interdisciplinary research is facilitated by widespread collaboration between different labs. Several research projects in the department are focused on animal models of nervous system disease. The department''s faculty has a distinguished record in neuroscience teaching and training. They are actively engaged in the training of medical students, Ph.D. and M.D./Ph.D. candidates, postdoctoral fellows and medical postgraduates. The faculty members of the Center play a major role in organizing and teaching the course Basic and Clinical Neuroscience, which is a Columbia Continuing Medical Education Course for students, fellows, residents, and practicing physicians. The outstanding research and training activities of the department are enhanced by the fact that it is embedded in a medical center with exceptional strength in many areas related to basic neuroscience, including Psychiatry and Neurology. In addition, the department sponsors the Graduate School of Arts & Sciences Ph.D. Program in Neurobiology and Behavior that includes over 100 faculty from the Medical Center and Morningside Campus.
Students entering the Neuroscience Program at Brandeis have opportunities to work in a range of fields, from cognitive neuroscience to the structure and function of ion channels. Brandeis University is an exciting place for Neuroscience research and study because we have an outstanding and highly interactive research community. The Neuroscience laboratories are housed within the Volen Center and adjoining buildings, and this close proximity facilitates the high degree of collaboration and exchange for which Brandeis has become famous. There are today over 45 Neuroscience Program Ph.D. students, who often work side-by-side with Ph.D. students in the other Life Sciences graduate programs at Brandeis. The Brandeis Life Sciences offers a M.S. program and a Ph.D. program in Neuroscience. Postdoctoral Training in Neuroscience There are numerous opportunities for postdoctoral training at Brandeis University. Funding for postdocs is available under the auspices of a NINDS training grant, as well as funding from the research grants of individual faculty members.
The Behavioral Neuroscience program''s focus is on the delineation and analysis of perceptual, cognitive, linguistic, affective, and behavioral disorders observed in neurologic disease, as these disorders contribute to an understanding of normal brain function and its modification by pathology. The subject matter derives chiefly, but not exclusively, from clinical populations with neurological disorders affecting higher processes, particularly from the study of syndromes involving selective impairment of functional systems such as memory, language, or purposeful movement. Current methods of clinical assessment, cognitive psychology, experimental design, and the neurosciences are integrated into a broad program of clinical and basic research. The Behavioral Neuroscience Ph.D. Program is administered through the Division of Graduate Medical Sciences, BUSM, by faculty members of the Department of Neurology, Division of Psychiatry, and Anatomy & Neurobiology, BUSM (holding joint appointments at the Department of Veterans Affairs [VA] Medical Centers in Boston or Bedford, MA). Only the doctoral program is offered (no master''s degree). The Program is not designed to meet requirements for accreditation as to clinical competence in psychology nor in any discipline which has a certification procedure. It does, however, accept students in the M.D./Ph.D. Program at Boston University School of Medicine, or other students enrolled elsewhere in related programs (including the Master of Arts in Medical Sciences Program), to take some or all of the offerings. Boston University School of Medicine is an accredited institution. Behavioral Neuroscience is a degree-granting Program having the same representation as other Ph.D.-granting Departments in the Division of Graduate Medical Sciences.
The Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign is an interdisciplinary research institute devoted to leading-edge research in the physical sciences, computation, engineering, biology, behavior, cognition, and neuroscience. It offers senior, graduate, postdoctoral, and Carle-Beckman fellowships. The Beckman Institute Postdoctoral Fellows program is intended for recent Ph.D.s or students in their final year of doctoral study with research interests relevant to the Beckman Institute. A competition is held yearly and four fellows are selected for terms of up to three years. The Beckman Graduate Fellows Program, offers University of Illinois graduate students at the M.A., M.S., or Ph.D. level the opportunity to pursue interdisciplinary research at the Institute. The Senior Fellows Program gives established faculty from other universities the opportunity to do short-term, onsite, interdisciplinary research with other Beckman Institute researchers. Participation in the Senior Fellows Program is by invitation from the Beckman Institute. Usually Senior Fellows have previous ties to Beckman researchers and stay for a period of three to six months. Beckman Institute research is focused around four research themes: Biological Intelligence, Human-Computer Intelligent Interaction, Integrative Imaging, and Molecular and Electronic Nanostructures More than 600 researchers from 40 University of Illinois departments as far-ranging as psychology, computer science, and biochemistry, comprising 13 Beckman Institute groups, work within and across these overlapping areas. The building is magnificent and offers more than 200 offices; specialized, state-of-the-art laboratories and other facilities; and meeting areas. The Arnold and Mabel Beckman Foundation provides ongoing financial assistance for various Institute and campus programs. Daily operating expenses of the Institute are funded by the state and its research programs are mainly supported by external funding from the federal government, corporations, and foundations.
SpBase is designed to present the results of the genome sequencing project for the purple sea urchin. The sequences and annotations emerging from this effort are organized in a database that provides the research community access to those data not normally presented through National Center for Biotechnology Information and other large databases. Additionally, the unique information on that links gene identities and sequences to the plate and well location to the library filters from the Sea Urchin genome Resource will also be presented. The software used to organize and present the sea urchin genome comes from GMOD, a collection of open source software tools for creating and managing genome-scale biological databases. That sea urchins eggs and embryos have long remained a popular research subject for cell and developmental biologists is one rationale for sequencing the genome. In addition, studies of embryonic development in the California Purple Sea Urchin, Strongylocentrotus purpuratus , have paralleled the emergence of molecular techniques ranging from the characterization of genomic repeat sequences in the 1970''s to the elucidation of gene regulatory networks in recent times. The parent of this site, SUGP, was meant to provide a focal point for the exchange of genomic information as the genome of the Purple sea urchin was being sequenced. Over these past years it has served as a repository for small sequencing projects and a source of sequence information useful for gene discovery projects. Here one could find information on macro-array libraries of cDNAs from the purple sea urchin and genomic DNA from several species. In addition, a Sequence Tag Connector (STC) collection has been assembled from 5% of the genome sequence and a very extensive repeat sequence catalog prepared. All of the sequence data that we maintained at SUGP was incorporated into the new SPBase. Of course, it is all in public sequence databases such as the National Center for Biological Information as well. Some additional sequence information is available at the Resource Center of the German Human Genome Project. With the publication of The Genome of the Sea Urchin Strongylocentrotus purpuratus by The Sea Urchin Genome Sequencing Consortium a link to the first 9941 gene annotations are now publicly available. The effort to sequence the whole purple sea urchin genome was a cooperative one that included contributions from the Sea Urchin Genome Facility here at the Center for Computational Regulatory Genomics, Beckman Institute, Caltech, and support from the Human Genome Research Institute of the National Institutes of Health. The sequencing was done at the Baylor College of Medicine, Human Genome Sequencing Center, Houston, Texas. Funding was approved based on an initiative submitted by the Sea Urchin Genome Advisory Committee.
Online repository for chicken in situ hybridization information. This site presents whole mount in situ hybridization images and corresponding probe and genomic information for genes expressed in chicken embryos in Hamburger Hamilton stages 1-25 (0.5-5 days). The GEISHA project began in 1998 to investigate using high throughput whole mount in situ hybridization to identify novel, differentially expressed genes in chicken embryos. An initial expression screen of approximately 900 genes demonstrated feasibility of the approach, and also highlighted the need for a centralized repository of in situ hybridization expression data. Objectives: The goals of the GEISHA project are to obtain whole mount in situ hybridization expression information for all differentially expressed genes in the chicken embryo between HH stages 1-25, to integrate expression data with the chicken genome browsers, and to offer this information through a user-friendly graphical user interface. In situ hybridization images are obtained from three sources: 1. In house high throughput in situ hybridization screening: cDNAs obtained from several embryonic cDNA libraries or from EST repositories are screened for expression using high throughput in situ hybridization approaches. 2. Literature curation: Agreements with journals permit posting of published in situ hybridization images and related information on the GEISHA site. 3. Unpublished in situ hybridization information from other laboratories: laboratories generally publish only a small fraction of their in situ hybridization data. High quality images for which probe identity can be verified are welcome additions to GEISHA.
Software program designed to detect excess haplotypes sharing in datasets consisting of case and control haplotypes. Excess haplotype sharing can be seen around disease loci in case samples since LD persists longer here than in the controls where LD is persisting only according to the relatedness of the individuals in the population, i.e. the age of the population. (entry from Genetic Analysis Software)
Nature Precedings is a free online service from NPG that enables researchers in the life sciences to openly share preliminary findings, disseminate emerging results, solicit community feedback, and claim priority over discoveries by posting preprint manuscripts, white papers, technical reports, posters, and presentations. It is a permanent, citable archive for pre-publication research and preliminary findings.
Produce new neurological mouse models that could serve as experimental models for the exploration of basic neurobiological mechanisms and diseases. The impetus for the program resulted from the recognition that: * The value of genomic data would remain limited unless more information about the functionality of its individual components became available. * The task of linking genes to specific behavior would best be accomplished by employing a combination of different approaches. In an effort to complement already existing programs, the Neuroscience Mutagenesis Facility decided to use: a random, genome-wide approach to mutagenesis, i.e.N-ethyl-N-nitrosourea (ENU) as the mutagen; a three-generation back-cross breeding scheme to focus on the detection of recessive mutations; behavioral screens selective for the detection of phenotypes deemed useful for the program goals. The resulting mutant mouse lines have been available to the scientific community for the last five years and over 700 NMF mice have been sent to interested investigators for research; these mutant mouse lines will remain available as frozen embryos (which can be re-derived on request) and can be ordered through the JAX customer service at 1-800-422-6423 (or 207-288-5845). The results of the work of the Neuroscience Mutagenesis Facility and that of two other neurogenesis centers, i.e. The Neurogenomics Project at Northwestern University, and the Neuromutagenesis Project of the Tennessee Mouse Genome Consortium, can also be seen at Neuromice.org, a common web site of these three research centers; in addition, information about all mutants produced by these groups has been recorded in MGI.
The Connectivity Map aims to generate a detailed map that links gene patterns associated with disease to corresponding patterns produced by drug candidates and a variety of genetic manipulations. The Connectivity Map is the most comprehensive effort yet for using genomics in a drug-discovery framework. It allows researchers to screen compounds against genome-wide disease signatures, rather than a pre-selected set of target genes. Drugs are paired with diseases using sophisticated pattern-matching methods with a high level of resolution and specificity. To build a Connectivity Map, the Broad Institute brings together molecular biologists, genomics specialists, computational scientists, pharmacologists, chemists and chemical biologists, as well as expertise from across the breadth and depth of medicine.Connectivity map is a large public database of signatures of drugs and genes, and pattern-matching tools to detect similarities among these signatures.The parent site for the Broad Institute at MIT has a software library of software applications developed for use in genetic analysis.
The PhD program in pharmaceutical sciences offers you the rigorous grounding in a broad range of disciplines that are critical to your success as a pharmaceutical scientist in academia and industry. We take an interdisciplinary approach to graduate research by combining the aspects of areas such as chemistry, biology, engineering, and economics that relate to pharmaceutical science. PhD students choose a concentration in one of the School's four academic divisions, each of which corresponds to a stage in the drug-development cycle.
Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database.
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 19,2019.BOND, which requires registration of a free account, is a resource used to perform cross-database searches of available sequence, interaction, complex and pathway information. BOND integrates a range of component databases including GenBank and BIND, the Biomolecular Interaction Network Database. BOND contains 70+ million biological sequences, 33,000 structures, 38,000 GO terms, and over 200,000 human curated interactions contained in BIND, and is open access. BOND serves the interests of the developing global interactome effort encompassing the genomic, proteomic and metabolomic research communities. BOND is the first open access search resource to integrate sequence and interaction information. BOND integrates BLAST functionality, and contains a well-documented API. BOND also stores annotation links for sequences, including links to Genome Ontology descriptions, MedLine abstracts, taxon identifiers, associated structures, redundant sequences, sequence neighbors, conserved domains, data base cross-references, Online Mendalian Inheritance in Man identifiers, LocusLink identifiers and complete genomes. BIND on BOND The Biomolecular Interaction Network Database (BIND), a component database of BOND, is a collection of records documenting molecular interactions. The contents of BIND include high-throughput data submissions and hand-curated information gathered from the scientific literature. BIND is an interaction database with three classifications for molecular associations: molecules that associate with each other to form interactions, molecular complexes that are formed from one or more interaction(s) and pathways that are defined by a specific sequence of two or more interactions.Interactions A BIND record represents an interaction between two or more objects that is believed to occur in a living organism. A biological object can be a protein, DNA, RNA, ligand, molecular complex, gene, photon or an unclassified biological entity. BIND records are created for interactions which have been shown experimentally and published in at least one peer-reviewed journal. A record also references any papers with experimental evidence that support or dispute the associated interaction. Interactions are the basic units of BIND and can be linked together to form molecular complexes or pathways. The BIND interaction viewer is a tool to visualize and analyze molecular interactions, complexes and pathways. The BIND interaction viewer uses Ontoglyphs to display information about a protein via attributes such as molecular function, biological process and sub-cellular localization. Ontoglyphs allow to graphically and interactively explore interaction networks, by visualizing interactions in the context of 34 functional, 25 binding specificity and 24 sub-cellular localization Ontoglyphs categories. We will continue to provide an open access version of BOND, providing its subscribers with free, unlimited access to a core content set. But we are confident you will soon want to upgrade to BONDplus.
The purpose of IMAG is to bring together program officers who have a shared interest in applying modeling and analysis methods to biomedical systems. The meetings are formatted to facilitate an open discussion of what is currently being supported, and for planning future directions in these areas. At each meeting, time is allotted to hear focused presentations from one or two participants to discuss issues relating to modeling and analysis across the government agencies. Discussions also occur online, and participants are informed of talks, conferences and other activities of interest to the group. The NIH BISTIC, (Biomedical Information Science and Technology Consortium), is very supportive of IMAG and serves as the larger body at NIH for disseminating IMAG activities. Associated agencies: NIH: Center for Scientific Review, National Cancer Institute, National Center for Research Resources, National Heart, Lung and Blood Institute, National Human Genome Research Institute, National Institute on Aging, National Institute of Allergy and Infectious Diseases, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, National Institute on Deafness and Other Communication Disorders, National Institute on Drug Abuse, National Institute of Environmental Health Sciences, National Institute of General Medical Sciences, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Library of Medicine NSF (National Science Foundation): Directorate for Biological Sciences, Directorate for Computer and Information Science and Engineering, Directorate for Engineering, Directorate for Mathematical and Physical Sciences NASA (National Aeronautics and Space Administration): Human Research Program DOE (Department of Energy), Office of Advanced Scientific Computing Research, Office of Biological and Environmental Research DOD (Department of Defense): Air Force Office of Scientific Research (AFOSR), Army, Defense Advanced Research Projects Agency, Office of Naval Research, Telemedicine and Advanced Technology Research Center, USDA (United States Department of Agriculture), USDVA (Unites States Department of Veteran Affairs) Soliciting programs: Predictive Multiscale Models of the Physiome in Health and Disease (MSM Physiome) Initiative; and Multi-Scale Modeling (MSM) InitiativeKey words: MRI, Imaging, human.
Department of Biochemistry and Molecular Pharmacology seeks to foster interactive, innovative environment in which faculty, students and postdoctoral fellows bring molecular perspective to problems in biology. By establishing interface between biology and disciplines of chemistry, mathematics and physics, this department encourages development and application of quantitative approaches to complex problems in life sciences. Department also serves to strengthen and, in turn, be strengthened by close interactions with other basic science and clinical departments at medical school.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Database containing structural annotations for the proteomes of just under 100 organisms. Using data derived from public databases of translated genomic sequences, representatives from the major branches of Life are included: Prokaryota, Eukaryota and Archaea. The annotations stored in the database may be accessed in a number of ways. The help page provides information on how to access the database. 3D-GENOMICS is now part of a larger project, called e-Protein. The project brings together similar databases at three sites: Imperial College London , University College London and the European Bioinformatics Institute . e-Protein''s mission statement is To provide a fully automated distributed pipeline for large-scale structural and functional annotation of all major proteomes via the use of cutting-edge computer GRID technologies. The following databases are incorporated: NRprot, SCOP, ASTRAL, PFAM, Prosite, taxonomy, COG The following eukaryotic genomes are incorporated: Anopheles gambiae, protein sequences from the mosquito genome; Arabidopsis thaliana, protein sequences from the Arabidopsis genome; Caenorhabditis briggsae, protein sequences from the C.briggsae genome; Caenorhabditis elegans protein sequences from the worm genome; Ciona intestinalis protein sequences from the sea squirt genome; Danio rerio protein sequences from the zebrafish genome; Drosophila melanogaster protein sequences from the fruitfly genome; Encephalitozoon cuniculi protein sequences from the E.cuniculi genome; Fugu rubripes protein sequences from the pufferfish genome; Guillardia theta protein sequences from the G.theta genome; Homo sapiens protein sequences from the human genome; Mus musculus protein sequences from the mouse genome; Neurospora crassa protein sequences from the N.crassa genome; Oryza sativa protein sequences from the rice genome; Plasmodium falciparum protein sequences from the P.falciparum genome; Rattus norvegicus protein sequences from the rat genome; Saccharomyces cerevisiae protein sequences from the yeast genome; Schizosaccharomyces pombe protein sequences from the yeast genome
An Integrative small RNA Sequencing database for miRNA research and provides an integrative web interface for miRNA quantification, isomiR identification, arm switching discovery, and, most of all, novel miRNA predictions.
A national consortium formed to develop, disseminate, and apply approaches to research that combine DNA biorepositories with electronic medical record (EMR) systems for large-scale, high-throughput genetic research. The consortium is composed of seven member sites exploring the ability and feasibility of using EMR systems to investigate gene-disease relationships. Themes of bioinformatics, genomic medicine, privacy and community engagement are of particular relevance to eMERGE. The consortium uses data from the EMR clinical systems that represent actual health care events and focuses on ethical issues such as privacy, confidentiality, and interactions with the broader community.
Project focused on cerebral aneurysms and provides integrated decision support system to assess risk of aneurysm rupture in patients and to optimize their treatments. IT infrastructure has been developeded for management and processing of vast amount of heterogeneous data acquired during diagnosis.