We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software package for multidimensional data analysis and reproducible computational experiments. It aims to provide a powerful environment and a convenient technology transfer tool for researchers working with digital image and data processing in geophysics and related fields., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Program is performing deep phenotyping of human endocrine pancreas and its interaction with immune system to better understand cellular and molecular events that precede and lead to beta cell loss in Type-1 Diabetes (T1D) and islet dysfunction in Type-2 Diabetes (T2D).
crystal structure files for biomolecules
A structured controlled vocabulary used for various aspects of annotation by FlyBase. This ontology is maintained by FlyBase for various aspects of annotation not covered, or not yet covered, by other OBO ontologies. If and when community ontologies are available for the domains here covered FlyBase will use them.
Software plugin for 2D and 3D non-negative, iterative, deconvolution.
Drosophila Facility specializes in producing drosophila media in bulk and making it available to local investigators.
An ontology of minimal set of terms for anatomy.
Software for combined elementary flux mode and network-embedded thermodynamic analysis.
Core supports molecular and magnetic resonance imaging. Provides facilities, equipment, and training for researchers across range of disciplines. Each BIC tool is supported by research scientists available to assist with study design, data collection, and data post-processing.
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.
Software as an open source package for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.
At the Berenson-Allen Center for Noninvasive Brain Stimulation (CNBS) at Beth Israel Deaconess Medical Center and Harvard Medical School we have three distinct missions: Research, Education and Patient Care. Our research explores brain-behavior relations, brain plasticity and its modulation, employing different noninvasive brain stimulation techniques combined with careful task design, electroencephalography, and functional brain imaging. Educational efforts feature several Continuing Medical Education Courses including a week long intensive course in noninvasive brain stimulation offered 3 times per year. Our clinical program offers noninvasive brain stimulation for treatment of neuropsychiatric disorders such as depression and schizophrenia, epilepsy, and chronic pain. Clinical work also includes studies of central motor conduction time, cortical excitability, and noninvasive cortical mapping.
An ontology that includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, they also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.
Consortium that provides infrastructure to promote communication and collaboration among current and future HIRN participants, facilitating scientific advances and the sharing of data, tools, and reagents among HIRN members and the research community at large.
Molecular imager system for performing gel and blot analysis. This system provides both PhosphorImager capabilities along with non-radioactive fluorescent labeling techniques-direct fluorescence and chemifluorescence. It can be used for non-radioactive gel and blot analysis methods or radioisotope techniques. Storm 840 scans storage phosphor screens plus fluorescent gels and chemifluorescent blots in the 35 x 43 cm scanning area.
Small Python library containing a data structure and tools to represent and analyze neuronal morphologies stored in the de facto standard SWC format.
Web based database interface for orthology prediction for the inference of orthologs among complete genomes. Used to relate genes across many species., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Real-time PCR Research and Diagnostics Core Facility accepts research projects from both academic and private sector. The Core Facility can accommodate projects involving laser microdissection, RNA and DNA extractions through semi-automated nucleic acid extractions systems, cDNA synthesis and complete Real-time PCR analysis using a laser 7900 HTA FAST platform.
Assessment test that measures the cognitive flexibility of patients. Two target pictures are presented that vary along two dimensions (e.g., shape and color). Participants are asked to match a series of bivalent test pictures (e.g., yellow balls and blue trucks) to the target pictures, first according to one dimension (e.g., color) and then, after a number of trials, according to the other dimension (e.g., shape). Switch trials are also employed, in which the participant must change the dimension being matched. For example, after 4 straight trials matching on shape, the participant may be asked to match on color on the next trial and then go back to shape, thus requiring the cognitive flexibility to quickly choose the correct stimulus. Scoring is based on a combination of accuracy and reaction time, and the test takes approximately 4 minutes to administer. This test is recommended for ages 3-85.
Software application to take large sets of overlapping images in 2D and 3D and produce registered 3D volumes of any size and scale. Registered slices may be exported as a single large images or viewed/annoted with Viking viewer. Used on transmission electron microscopy, scanning electron microscopy images, and light microscopy images.