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The Department of Neurosciences is highly committed to advancing the state of knowledge of nervous system structure and function through a tripartite mission of innovative research, state-of-the-art teaching methods, and dedicated service to the broader academic and surrounding communities. The teaching mission of our Department effectively communicates the current state of knowledge in neuroscience to the medical, graduate, and post-graduate students of the University using innovative methods. We are nationally known for using the most current technologies to teach human anatomy, embryology, and neurobiology to medical and graduate students. We teach critical thinking and problem solving skills and also provide opportunities for the students to excel in the laboratory and develop as life-long learners. Faculty participate in our Neurosciences and Neurological Disorders (NND) training track which awards both Ph.D. and M.S. degrees. We also train students towards the M.D./Ph.D and M.D./ M.S.B.S. joint degrees. Our research mission incorporates molecular, cellular, and systems neuroscience and cuts across the boundaries of traditional departments and disciplines. Our funded research in neurodevelopment, neurodegeneration, regeneration and repair, sensory function, and drug abuse comprise just a few of our interests. We employ cutting edge technologies and focus on the solution of fundamentally important problems pertinent to nervous system diseases and processes that can be translated feasibly to clinical issues. We work towards a synergistic interaction between the clinical and basic sciences that prompts unexpected discoveries of causes and novel treatments for the diseased nervous system. We also coordinate the Human Body Donation Program at the University of Toledo College of Medicine.

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• SciCrunch
• 16 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 24, 2013. These distribution sets contain software modules and/or data sets extracted from the Visualization and Analysis Software Tools (VAST) library developed at the Minneapolis VA Medical Center, the University of Minnesota and/or the International Consortium for Neuroimaging (INC) (partially funded by the Human Brain Project )

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• SciCrunch
• 17 years ago - by Anonymous

Statistical software for transcription landscape reconstruction at a basepair resolution from RNA Seq read counts. It is based on a state-space model which describes, in terms of abrupt shifts and more progressive drifts, the transcription level dynamics along the genome. Alongside variations of transcription level, it incorporates a component of short-range variation to pull apart local artifacts causing correlated dispersion. Reconstruction of the transcription level relies on a conditional sequential Monte Carlo approach that is combined with parameter estimation in a Markov chain Monte Carlo algorithm known as particle Gibbs. The method allows to estimate the local transcription level, to call transcribed regions, and to identify the transcript borders.

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• SciCrunch
• 13 years ago - by Anonymous

A Web application development framework for Perl. Based on the MVC programming paradigm, it provides a sensible layout for Web applications that helps you write applications faster and with fewer mistakes. Solstice serves as the foundation for a suite of enterprise communication and collaboration tools used at the University of Washington. Many of these tools, such as the WebQ survey and quiz creation application, the UMail anonymous email form, and the CrowdControl module for managing groups of users, are available for download now. More are on the way. They will offer you rich starting points, examples, and solutions for your own applications. Solstice is designed to support large, complex applications that have a serious need for structured navigation. Its state-machine based navigation system ensures that users stay on the paths they need to follow within your Web application. With any mod_perl enabled Apache server, Solstice offers easy installation and proven scalability. Specifically, Solstice provides your application with: * a state-machine based navigation system, * integrated validation, * highly reusable and embeddable page elements, * session management, * user and group models for flexible, built-in authorization, * a development mode for realtime diagnostics, and * a focus on scalability. When you work with Solstice, you can also use Majere, a Web-based development tool that automates the creation of applications and manages their configuration. Majere frees you to focus on the more interesting parts of application development and is available along with Solstice on our Download page. Solstice provides support for RESTful development.

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• SciCrunch
• 17 years ago - by Anonymous

An ontology that models material entities, qualities, and processes related to collections of interacting organisms such as populations and communities. It is taxon neutral, and can be used for any species, including humans. The classes in the PCO are useful for describing evolutionary processes, organismal interactions, and ecological experiments. Practical applications of the PCO include community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies, such as the Gene Ontology (GO), which covers biological processes, and the Phenotypic Quality Ontology (PATO).

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• SciCrunch
• 13 years ago - by Anonymous

A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part.

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• SciCrunch
• 13 years ago - by Anonymous

A structured controlled vocabulary for the representation of plant environmental conditions.

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• SciCrunch
• 13 years ago - by Anonymous

Database of related protein sequences (clusters) consisting of proteins derived from the annotations of whole genomes, organelles and plasmids. It currently limited to Archaea, Bacteria, Plants, Fungi, Protozoans, and Viruses. It contains annotation information, publications, domains, structures, and external links and analysis tools including multiple alignments, phylogenetic trees, and genomic neighborhoods (ProtMap). Data is available for download via Protein Clusters FTP

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• SciCrunch
• 17 years ago - by Anonymous

Department that trains independent, creative, productive scholars in the physiological sciences. The department offers programs leading to the Ph.D. degree. A combined M.D./Ph.D. or D.M.D./Ph.D. degree program is available for students who obtain prior or concurrent admission to the Schools of Medicine or Dentistry respectively. The primary research interests of the department are Cardiovascular Physiology, Endocrinology, and Neuroscience. Physiology faculty currently hold more than $7,000,000 in extramural funding, ranking 21st out of Medical School Physiology Departments nationally. Members of the Department teach in the Medical and Graduate Schools including Medical Physiology and Intergated Systems Biology, Neuroscience and advanced courses in cardiovascular and endocrine physiology.

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• SciCrunch
• 17 years ago - by Anonymous

Database of protein families and domains that is based on the observation that, while there is a huge number of different proteins, most of them can be grouped, on the basis of similarities in their sequences, into a limited number of families. Proteins or protein domains belonging to a particular family generally share functional attributes and are derived from a common ancestor. It is complemented by ProRule, a collection of rules based on profiles and patterns, which increases the discriminatory power of profiles and patterns by providing additional information about functionally and/or structurally critical amino acids. ScanProsite finds matches of your protein sequences to PROSITE signatures. PROSITE currently contains patterns and profiles specific for more than a thousand protein families or domains. Each of these signatures comes with documentation providing background information on the structure and function of these proteins. The database is available via FTP.

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• SciCrunch
• 17 years ago - by Anonymous

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

Software that improves the results from the Illumina infinium HumanMethylation450 BeadChips by reducing technical variation within and between arrays. SWAN is available in the minfi Bioconductor package.

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• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVCE, documented January 28, 2019. Core Facility provides the software and support for computer assisted protein and DNA sequence analysis and database access. The Genetics Computer Group GCG-Wisconsin package is currently available on PBRC's UNIX platform that is accessible via modem or direct connection. The package can be accessed via three interfaces: the command-line interface (UNIX C-shell), the web-based interface (SeqWeb) and the X-Windows based graphics interface (SeqLab). Applications in the package include sequence editing, alignment, comparison, primer design, restriction analysis, mapping, data presentation, database browsing, etc. In addition to local databases, access to remote databases (BLAST) is integrated into the package. The local databases are updated quarterly. Databases available include GenBank, EMBL, PIR-Protein, SWISS-PROT and Restriction Enzymes (REBASE).

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• SciCrunch
• 15 years ago - by Anonymous

Research and development project at Stanford University to create a standards-based informatics platform supporting clinical and translational research. STRIDE consists of three integrated components: a clinical data warehouse, based on the HL7 Reference Information Model (RIM), containing clinical information on over 1.6 million pediatric and adult patients cared for at Stanford University Medical Center since 1995; an application development framework for building research data management applications on the STRIDE platform and a biospecimen data management system. STRIDE's semantic model uses standardized terminologies, such as SNOMED, RxNorm, ICD and CPT, to represent important biomedical concepts and their relationships. STRIDE receives clinical data for research use via HL7 feeds from both SUMC hospitals: Lucile Packard Children's Hospital and Stanford Hospital and Clinics. This clinical data is used to support a wide variety of translational research services including: * Anonymized Patient Research Cohort Discovery * Electronic Chart Review for Research * IRB-Approved Clinical Data Extraction * Biospecimen Data Management * Multimedia Research * Data Management and Research Registries STRIDE is a highly secure environment utilizing encryption, fine-grained access control, robust auditing and detailed data segregation. Additionally, STRIDE has a robust access control framework with well-defined access granting authorities and access control groups. Consequently STRIDE meets or exceeds the requirements of the HIPAA Privacy and Security regulations. Privacy protection is further enhanced by requiring IRB approval for all research projects using STRIDE clinical data. From a technology and standards perspective, STRIDE is hosted on the Oracle 11g database platform. STRIDE application software provides access to the web services of a three-tier infrastructures using SSL encryption with strong authentication. These programs are cross-platform, self-updating thick-client applications that provides a rich user interface for data entry, retrieval and review as well as image manipulation and annotation. STRIDE makes extensive use of XML technologies for representation of structured meta data, distributed systems technologies using JSON for secure remote communication between client and server, and Swing graphical interface components providing a rich widget-set as well as advanced imaging and graphing capabilities. Users of the STRIDE Research Desktop Client can perform rapid data entry into structured fields, compose complex queries, and interact securely with clinical, research and imaging data.

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• SciCrunch
• 17 years ago - by Anonymous

One of the key challenges in the analysis of gene expression data is how to relate the expression level of individual genes to the underlying transcriptional programs and cellular state. The T-profiler tool hosted on this website uses the t-test to score changes in the average activity of pre-defined groups of genes. The gene groups are defined based on Gene Ontology categorization, ChIP-chip experiments, upstream matches to a consensus transcription factor binding motif, and location on the same chromosome, respectively. If desired, an iterative procedure can be used to select a single, optimal representative from sets of overlapping gene groups. A jack-knife procedure is used to make calculations more robust against outliers. T-profiler makes it possible to interpret microarray data in a way that is both intuitive and statistically rigorous, without the need to combine experiments or choose parameters. Currently, gene expression data from Saccharomyces cerevisiae and Candida albicans are supported. Users can submit their microarray data for analysis by clicking on one of the two organism-specific tabs above. Platform: Online tool

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Primary informatics resource for joint research efforts of the Albert Einstein College of Medicine and Montefiore Medical Center to facilitate the study and understanding of biological processes, clinical disorders, pathologic abnormalities, and the relationships among them, using a wide variety of informatics techniques, applications, and user training. Their services include: * Collaboration on research design to enable effective data management throughout all phases of a project * Provision of management capability for large volumes of data generated by microarrays and related technologies * Provision and supports a software toolchest for data capture, retrieval, and analysis * Design and implementation of custom interfaces to incorporate existing or separately designed databases into the central data management architecture * Support for data management for the Biorepository, to enhance specimen storage, identification, and linkage with clinical data * Ensuring conformity of data elements and structures to national standards via participation in standards organizations, facilitating intramural and extramural collaboration * Providing individualized support to end-users with bioinformatics training needs * Serving as a bioinformatics liaison to other research institutes and organizations * Providing data management support for clinical research * Providing a common, secure repository for clinical, experimental, and biosample storage data

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• SciCrunch
• 14 years ago - by Anonymous

A free and open-source add-on for conducting meta-analyses with the statistical software environment R.

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• SciCrunch
• 13 years ago - by Anonymous

Ontology that defines hierarchical display of different rat strains as derived from parental strains. Ontology Browser allows to retrieve all genes, QTLs, strains and homologs annotated to particular term. Covers all types of biological pathways including altered and disease pathways, and to capture relationships between them within hierarchical structure. Five nodes of ontology include classic metabolic, regulatory, signaling, drug and disease pathways. Ontology allows for standardized annotation of rat. Serves as vehicle to connect between genes and ontology reports, between reports and interactive pathway diagrams, between pathways that directly connect to one another within diagram or between pathways that in some fashion are globally related in pathway suites and suite networks.

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• SciCrunch
• 13 years ago - by Anonymous

A software package designed to determine the methylation parameter at each cytosine or cytosine-guanine position in the human genome. FadE uses color reads produced by the SOLiD sequencer or nucleotide reads produced by the Illumina or 454 sequencing platforms.

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• SciCrunch
• 13 years ago - by Anonymous

miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables.

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• SciCrunch
• 15 years ago - by Anonymous