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https://simuladren.sf.net

Software tool as simulation program of hypothalamus-pituitary-adrenal axis (HPA axis, aka corticotropic feedback control) for education and research, based on nonlinear MiMe-NoCoDI model and implemented with CyberUnits Bricks library.

Proper citation: SimulAdren (RRID:SCR_027314) Copy   

•   Source: SciCrunch Registry

http://mitraweb1.cshl.edu:8080/BrainArchitecture/pages/publications.faces

Preliminary database of neuroanatomical connectivity reports specifically for the human brain, which have been manually curated. It includes details (based on manual literature curation) of tract tracing or related connectivity studies conducted in human brain tissue. This database and user interface will be expanded and improved in the near future.

Proper citation: Human Brain Connectivity Database (RRID:SCR_001594) Copy   

•   Source: SciCrunch Registry

https://clinicaltrials.gov/study/NCT00325039

Study that compared the outcomes of two minimally invasive surgical procedures to treat stress urinary incontinence in women. These procedures are called mid-urethral slings. The procedures insert a mesh sling or hammock to support the bladder neck so that urine does not leak. Both procedures have been approved by the FDA and have been shown to be safe and successful in treating stress urinary incontinence. However, it is not known if one is better than the other. This study answers that question. The secondary aims of the trial are to compare other outcomes for the two surgical procedures, including quality of life, sexual function, satisfaction with treatment outcomes, complications, and the need for other treatments(s) after surgery. Follow-up will be a minimum of two years. Stress urinary incontinence is the accidental leakage of urine during activities such as coughing, laughing, sneezing, or lifting heavy objects.

Proper citation: TOMUS (RRID:SCR_001549) Copy   

•   Source: SciCrunch Registry

https://repository.niddk.nih.gov/study/81

Multi-center, randomized controlled study designed to determine if continuing interferon long term over several years will suppress the Hepatitis C virus, prevent progression to cirrhosis, prevent liver cancer and reduce the need for liver transplantation. Patient enrollment began in 2000 and was completed in 2003 at 10 clinical centers, which were supported by a data coordinating center, virological testing center, and central sample repository. Patients with chronic hepatitis C and advanced fibrosis or cirrhosis on liver biopsy who failed to respond to a previous course of interferon alfa were enrolled in this study. Patients were initially treated with a 24-week course of peginterferon alfa-2a and ribavirin. Patients who remained hepatitis C virus RNA positive were then randomized to receive maintenance, low-dose peginterferon or to be followed on no treatment. Liver biopsies were done before enrollment and after 2 and 4 years of treatment or follow-up. The endpoints were development of cirrhosis, hepatic decompensation, hepatocellular carcinoma, death, or liver transplantation. 1050 patients were randomized and followed through the 4 year randomized phase of the trial and as long as 4 years off treatment. Serum samples collected at multiple time points, DNA and liver tissue are available for scientific investigation.

Proper citation: HALT-C Trial (RRID:SCR_001534) Copy   

•   Source: SciCrunch Registry

http://www.dendrites.org/software

Dendritica is a program package for relating dendritic geometry and signal propagation. The programs are based on those used for the simulations described in the following paper: Vetter, P., Roth, A. & Husser, M. (2001). Action potential propagation in dendrites depends on dendritic morphology. Journal of Neurophysiology, 85: 926-937. Dendritica can functionally be divided into three main parts: - Interactive morphological analysis and electrophysiological simulation of single cells - Automated batch simulations across a set of morphologies using the same simulation parameters - Automated analysis of batch simulation runs Dendritica requires NEURON 4.1.1 with some modifications described in Appendix 1. It was tested for NEURON 4.1.1 on Linux and SGI IRIX. Some modifications to the Dendritica code may be necessary in order to run it on older or newer versions of NEURON. Sponsors: This work was supported by the Wellcome Trust, the European Community, the Max-Planck-Gesellschaft, the Wellcome Trust 4-year PhD Programme in Neuroscience.

Proper citation: Dendritica: Software Tools for Studying Dendritic Signaling (RRID:SCR_001865) Copy   

•   Source: SciCrunch Registry

http://omlc.ogi.edu/software/mc/

MCML is a Monte Carlo simulation program for Multi-layered Turbid Media with an infinitely narrow photon beam as the light source. The simulation is specified by an input text file called, for example, sample.mci, which can be modified by any simple text editor. The output is another text file called, for example, sample.mco. (The names are arbitrary.) CONV is a convolution program which uses the MCML output file to convolve for photon beams of any size in a Gaussian or flat field shape. CONV can provide a variety of output formats (reflectance, transmission, iso-fluence contours, etc.), which are compatible with standard graphics applications.

Proper citation: MCML and CONV (RRID:SCR_002419) Copy   

•   Source: SciCrunch Registry

http://www.thevirtualbrain.org/

Simulation software for modeling the entire human brain by combining structural and functional data from empirical neuroimaging data. It can generate local field potentials, EEG, MEG and fMRI BOLD data based on neural mass models. The user can also modify the model parameters to match clinical conditions from focal lesions or degenerative disorders.

Proper citation: Virtual brain (RRID:SCR_002249) Copy   

•   Source: SciCrunch Registry

https://github.com/seqan/seqan/tree/master/apps/mason2

Collection of software tools for simulating biological sequences, including simulations of genome fragment sampling, random genomic sequences, methylation levels, and NGS reads.

Proper citation: Mason (RRID:SCR_002476) Copy   

•   Source: SciCrunch Registry

http://www.dartmouth.edu/~nir/nirfast/

Software package for modeling Near-Infrared light transport in tissue and image reconstruction. This includes: Standard single wavelength absorption and reduced scatter, Multi-wavelength spectrally constrained models and Fluorescence models.

Proper citation: Nirfast (RRID:SCR_002503) Copy   

•   Source: SciCrunch Registry

http://orphelia.gobics.de/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment.

Proper citation: Orphelia (RRID:SCR_000119) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/glide

Software package which approximates a complete search of the conformational, orientational, and positional space of the ligand in a given receptor. Used in drug development for predicting protein ligand binding modes and ranking ligands via high throughput virtual screening.

Proper citation: Glide (RRID:SCR_000187) Copy   

•   Source: SciCrunch Registry

https://bitbucket.org/dkessner/forqs

Software for forward-in-time population genetics simulation that tracks individual haplotype chunks as they recombine each generation. It also also models quantitative traits and selection on those traits.

Proper citation: forqs (RRID:SCR_000643) Copy   

•   Source: SciCrunch Registry

https://mycompounddiscoverer.com/

Software platform by Thermo Fisher Scientific designed for identifying, comparing, and interpreting small molecules in complex biological, environmental, and forensic samples. It uses customizable workflow, known as nodes, to automate mass spectrometry data processing, spectral library searching, and statistical analysis.Compound Discoverer is integrated with SIRIUS (via a custom workflow node) to bridge the gap between high-resolution MS/MS data and confident molecular identification. While Thermo Scientific’s Compound Discoverer excels at library searching and statistical analysis, SIRIUS provides powerful in silico tools to accurately predict molecular formulas, chemical classes, and de novo structures. High-resolution mass spectrometry (HRMS) data analysis software for untargeted metabolomics, lipidomics, and contaminant screening. Utilizes modular workflows to extract features, match spectra against libraries like mzCloud, and confidently identify complex organic compounds.

Proper citation: Compound Discoverer (RRID:SCR_028693) Copy   

•   Source: SciCrunch Registry

https://stoeltingco.com/Neuroscience/ANY-maze-Video-Tracking-Software~9825?navigate_from_document=1135&navigated_from_object=3955

Automated platform used in behavioral neuroscience to track and analyze the movements and behaviors of lab animals, such as mice and rats. Standardizes experiments like the Elevated Plus Maze, Open Field, Barnes Maze, and Fear Conditioning. Tracks whole-body movement, distance traveled, freezing/immobility, and zone entries. Connects to external devices like food dispensers, shockers, and lasers to trigger automated responses based on the animal's actions.

Proper citation: Stoelting ANY-maze Video Tracking Software (RRID:SCR_028718) Copy   

•   Source: SciCrunch Registry

http://www.hivebench.com/

A commercial software laboratory notebook.

Proper citation: hivebench (RRID:SCR_000915) Copy   

•   Source: SciCrunch Registry

http://nramm.scripps.edu/

Biomedical technology research center that develops, tests and applies technology aimed toward completely automating the processes involved in solving macromolecular structures using cryo-electron microscopy. The goal is to establish a resource that will serve both as a center for high-throughput molecular microscopy as well as for transferring this technique to the research community. Current Core Technology Research and Development is focused on 4 areas: improving grid substrates and specimen preparation; further automation and optimization of image acquisition; development of an integrated single particle analysis and processing pipeline; and the development of automated high throughput EM screening. NRAMM welcomes applications of both collaborative and service projects.

Proper citation: National Resource for Automated Molecular Microscopy (RRID:SCR_001448) Copy   

•   Source: SciCrunch Registry

http://www.acert.cornell.edu/

Biomedical technology research center that develops methods, both experimental and theoretical, of modern electron spin resonance (ESR) for biomedical applications. Center technologies are applicable to the determination of the structure and complex dynamics of proteins. Principal areas of expertise: * Pulsed Fourier Transform and Two Dimensional ESR * High Frequency-High Field (HFHF) ESR * High Resolution ESR Microscopy * Theory and Computational Methods for Modern ESR Activities include: * making resources available to the biomedical community, * publishing results, * running workshops on the new methodologies, * addressing the need to bring these new technologies to other laboratories.

Proper citation: National Biomedical Center for Advanced ESR Technology (RRID:SCR_001444) Copy   

•   Source: SciCrunch Registry

http://www.sci.utah.edu/cibc/

Biomedical technology research center that produces open-source software tools for biomedical image-based modeling, biomedical simulation and estimation, and the visualization of biomedical data. The Center works closely with software users and collaborators in a range of scientific domains to produce user-optimized tools and provides advice, technical support, workshops, and education to enhance user success. Biological projects and collaborations drive their development efforts, all with a single unifying vision: to develop the role of image-based modeling and analysis in biomedical science and clinical practice. The CIBC has a strong, ongoing emphasis on software simulation of bioelectric fields, with clinically oriented collaborations in cardiac defibrillation and the diagnosis/treatment of epilepsy. In addition, the CIBC has expanded in recent years to include applications of statistical shape analysis and three-dimensional visualization to mouse genetics and neuroimaging and applications of image and geometry processing to cell biology.

Proper citation: Center for Integrative Biomedical Computing (RRID:SCR_001961) Copy   

•   Source: SciCrunch Registry

http://www.dnastar.com/t-genvision.aspx

A genomic visualization application to support easy generation of publication quality graphics and maps. It produces high quality images of annotated genomes but it can also be customized to accentuate specific areas of interest, such as comparing gene functionality, illustrating gene expression levels, and visualizing the coverage in an assembled contig.

Proper citation: GenVision (RRID:SCR_001166) Copy   

•   Source: SciCrunch Registry

http://www.ks.uiuc.edu/

Biomedical technology research center focusing on the structure and function of supramolecular systems in the living cell as well as on the development of new algorithms and efficient computing tools for physical biology. They bring the most advanced molecular modeling, bioinformatics, and computational technologies to bear on questions of biomedical relevance. They extend, refine and deliver these technologies in response to experimental progress and emerging needs of the wide biomedical research community. They magnify the impact of their work through direct collaboration with experimental researchers, the distribution of cutting-edge and user-friendly software, and via extensive training, service, and dissemination efforts. The multidisciplinary team is engaged in the modeling of large macromolecular systems in realistic environments, and has produced ground-breaking insights into biomolecular processes coupled with mechanical force, bioelectronic processes in metabolism and vision, and with the function and mechanism of membrane proteins. They are committed and work towards further advancement of * Molecular modeling tools which can integrate structural information with bioinformatics databases and molecular dynamics simulations, and which can be used by a wide audience; * High performance molecular visualization and simulation software, capable of modeling biomolecules in realistic environments of 100,000,000 atoms or more; * Conceptual and methodological foundations of molecular modeling in the fields of quantum biology, mechanobiology, and interactive modeling; * Biomedical science through collaborations between theoretical and experimental researchers; * Support of the entire research process and training through a web-enabled collaborative environment; and * Service, training, and dissemination by leveraging web-based molecular graphics and integrated modeling technologies.

Proper citation: NIH Center for Macromolecular Modeling and Bioinformatics (RRID:SCR_001435) Copy   

•   Source: SciCrunch Registry