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

An ontology that describes the Congenital Heart Defects data.

Proper citation: Congenital Heart Defects Ontology (RRID:SCR_007584) Copy   

•   Source: SciCrunch Registry

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

Memorial Sloan-Kettering Cancer Center''s ontology of surgical secondary events (adverse events).

Proper citation: Surgical Secondary Events (RRID:SCR_007894) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://simtk.org/home/simtkcore

SimTK Core is one of the two packages that together constitute SimTK, the biosimulation toolkit from the Simbios Center. The other major component of SimTK is OpenMM which is packaged separately. This SimTK Core project collects together all the binaries needed for the various SimTK Core subprojects. These include Simbody, Molmodel, Simmath (including Ipopt), Simmatrix, CPodes, SimTKcommon, and Lapack. See the individual projects for descriptions. SimTK brings together in a robust, convenient, open source form the collection of highly-specialized technologies necessary to building successful physics-based simulations of biological structures. These include: strict adherence to an important set of abstractions and guiding principles, robust, high-performance numerical methods, support for developing and sharing physics-based models, and careful software engineering. Accessible High Performance Computing We believe that a primary concern of simulation scientists is performance, that is, speed of computation. We seek to build valid, approximate models using classical physics in order to achieve reasonable run times for our computational studies, so that we can hope to learn something interesting before retirement. In the choice of SimTK technologies, we are focused on achieving the best possible performance on hardware that most researchers actually have. In today''s practice, that means commodity multiprocessors and small clusters. The difference in performance between the best methods and the do-it-yourself techniques most people use can be astoundingeasily an order of magnitude or more. The growing set of SimTK Core libraries seeks to provide the best implementation of the best-known methods for widely used computations such as: Linear algebra, numerical integration and Monte Carlo sampling, multibody (internal coordinate) dynamics, molecular force field evaluation, nonlinear root finding and optimization. All SimTK Core software is in the form of C++ APIs, is thread-safe, and quietly exploits multiple CPUs when they are present. The resulting pre-built binaries are available for download and immediate use. Audience: Biosimulation application programmers interested in including robust, high-performance physics-based simulation in their domain-specific applications.

Proper citation: SimTKCore (RRID:SCR_008268) Copy   

•   Source: SciCrunch Registry

https://simtk.org/home/isim_interface

A simple Java graphical user interface for running the program ISIM. ISIM is a package that simulates the thermodynamic ensemble of ions around a macromolecule using a grand canonical Monte Carlo scheme and simple hard sphere ion models. It is meant to provide an alternative mechanism to mean field approaches to allow the calculation of ion distributions around a highly charged molecule using a simple model that takes into account ion-ion correlations and steric interactions. The original source was created in the McCammon group at UCSD but is no longer available. The version of ISIM used is available in the ISIM project on simtk.org.

Proper citation: Ion Simulator Interface (RRID:SCR_008267) Copy   

•   Source: SciCrunch Registry

http://www.oege.org/software/hwe-mr-calc.shtml

This portal leads to the Chi-sq Hardy-Weinberg equilibrium test calculator for biallelic markers (SNPs, indels etc), including analysis for ascertainment bias for dominant/recessive models (due to biological or technical causes.) The purpose of this web program is for estimating possible missingness and an approach to evaluating missingness under different genetic models. Mendelian randomization (MR) permits causal inference between exposures and a disease. It can be compared with randomized controlled trials. Whereas in a randomized controlled trial the randomization occurs at entry into the trial, in MR the randomization occurs during gamete formation and conception. Several factors, including time since conception and sampling variation, are relevant to the interpretation of an MR test. Particularly important is consideration of the missingness of genotypes that can be originated by chance, genotyping errors, or clinical ascertainment. Testing for Hardy-Weinberg equilibrium (HWE) is a genetic approach that permits evaluation of missingness. Through this tool, the authors demonstrate evidence of nonconformity with HWE in real data. They also perform simulations to characterize the sensitivity of HWE tests to missingness. Unresolved missingness could lead to a false rejection of causality in an MR investigation of trait-disease association. These results indicate that large-scale studies, very high quality genotyping data, and detailed knowledge of the life-course genetics of the alleles/genotypes studied will largely mitigate this risk. Sponsors: This resource is supported by an Intermediate Fellowship (grant FS/05/065/19497) from the British Heart Foundation.

Proper citation: Hardy-Weinberg Equilibrium Calculator (RRID:SCR_008371) Copy   

•   Source: SciCrunch Registry

http://www.accelrys.com/products/downloads/ds_visualizer/

A life science modeling and simulation suite of applications focused on optimizing the drug discovery process. Discovery Studio makes it easier to examine the properties of large and small molecules, study systems, identify leads and optimize candidates. Discovery Studio ADME Descriptors allow scientists to eliminate compounds with unfavorable ADME characteristics early in the discovery process and evaluate proposed structural refinements prior to synthesis. Applications of predictive ADME include pharmaceutical, cosmeceutical, and environmental sciences.

Proper citation: Discovery Studio Visualizer (RRID:SCR_008398) Copy   

•   Source: SciCrunch Registry

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

Ontology that is a classification of the types of mathematical models used mostly in the life sciences, their variables, relationships and other relevant features.

Proper citation: Mathematical Modelling Ontology (RRID:SCR_000910) Copy   

•   Source: SciCrunch Registry

http://interactome.org/index.php/Main_Page

This Wiki page provides information about Interactome of various species. An interactome of a species provides an important clues on how to interpret metabolic pathways of constituent enzymes and global protein network, which facilitates in turn to understand the mechanism responsible for the cellular functions.

Proper citation: Interactome Wiki (RRID:SCR_000750) Copy   

•   Source: SciCrunch Registry

http://opensim.stanford.edu

OpenSim is an open-source software system that lets users develop models of musculoskeletal structures and create dynamic simulations of movement. The software provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through multi-institutional collaboration. The underlying software is written in ANSI C++, and the graphical user interface (GUI) is written in Java. OpenSim technology makes it possible to develop customized controllers, analyses, contact models, and muscle models among other things. These plugins can be shared without the need to alter or compile source code. Users can analyze existing models and simulations and develop new models and simulations from within the GUI.

Proper citation: OpenSim (RRID:SCR_002683) Copy   

•   Source: SciCrunch Registry

http://www.nmr.mgh.harvard.edu/DOT/resources/tmcimg/

Software application that uses a Monte Carlo algorithm to model the transport of photons through 3D volumes with spatially varying optical properties. Both highly-scattering tissues (e.g. white matter) and weakly scattering tissues (e.g. cerebral spinal fluid) are supported. Using the anatomical information provided by MRI, X-ray CT, or ultrasound, accurate solutions to the photon migration forward problems are computed in times ranging from minutes to hours, depending on the optical properties and the computing resources available.

Proper citation: Monte Carlo Simulation Software: tMCimg (RRID:SCR_002588) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/annotation-ontology/

Provides vocabulary for performing several types of annotation - comment, entities annotation (or semantic tags), textual annotation (classic tags), notes, examples, erratum... - on any kind of electronic document (text, images, audio, tables...) and document parts. AO is not providing any domain ontology but it is fostering the reuse of the existing ones for not breaking the principle of scalability of the Semantic Web.

Proper citation: Annotation Ontology (RRID:SCR_002862) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/tumorsim/

Simulation software that generates pathological ground truth from a healthy ground truth. The software requires an input directory that describes a healthy anatomy (anatomical probabilities, mesh, diffusion tensor image, etc) and then outputs simulation images.

Proper citation: TumorSim (RRID:SCR_002604) Copy   

•   Source: SciCrunch Registry

https://github.com/OSS-Lab/ChemChaste

Software tool for simulating spatially inhomogenous biochemical reaction diffusion systems for modelling cell environment feedbacks. Simulation software for spatially organised biochemical systems.

Proper citation: ChemChaste (RRID:SCR_022208) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/pbsim/

Software that simulates PacBio reads by using either a model-based or sampling-based simulation.

Proper citation: PBSIM (RRID:SCR_002512) Copy   

•   Source: SciCrunch Registry

http://biologicstylus.sourceforge.net/

Biologic Stylus is Biologic Institute's Stylus simulation software suite. Programming Language: C++, Python

Proper citation: Biologic Stylus (RRID:SCR_002991) Copy   

•   Source: SciCrunch Registry

http://www.ncbcs.org/biositemaps/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 27,2023. A controlled terminology of resources, which is used to improve the sensitivity and specificity of web searches. It includes ''resource_type'', ''area of research'', and ''activity''. It is under development by a number of NIH-funded researchers who have a combined interest in classification of biomedical resources. The biositemaps site is no longer available but the biomedical resource ontology is still available via bioportal Biomedical Resource Ontology (BRO).

Proper citation: Biomedical Resource Ontology (RRID:SCR_004443) Copy   

•   Source: SciCrunch Registry

http://hymao.org

A structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, sawflies and ants)

Proper citation: Hymenoptera Anatomy Ontology (RRID:SCR_003340) Copy   

•   Source: SciCrunch Registry

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

Ontology for cell types from NIFSTD

Proper citation: NIF Cell Ontology (RRID:SCR_003977) Copy   

•   Source: SciCrunch Registry

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

A structured controlled vocabulary for the annotation of mass spectrometry experiments.

Proper citation: Mass Spectrometry Ontology (RRID:SCR_003579) Copy   

•   Source: SciCrunch Registry