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http://cytoseg.googlecode.com

A tool for automatic segmentation of 3D biological datasets, with emphasis on 3D electron microscopy. It works best for 3D blob shaped objects like mitochondria, lysosomes, etc. The project is written in Python and uses the pythonxy platform (which includes scipy and ITK image processing tools).

Proper citation: Cytoseg (RRID:SCR_009553) Copy   

•   Source: SciCrunch Registry

http://rarediseases.info.nih.gov/GARD/Default.aspx

Genetic and Rare Diseases Information Center (GARD) is a collaborative effort of two agencies of the National Institutes of Health, The Office of Rare Diseases Research (ORDR) and the National Human Genome Research Institute (NHGRI) to help people find useful information about genetic conditions and rare diseases. GARD provides timely access to experienced information specialists who can furnish current and accurate information about genetic and rare diseases. So far, GARD has responded to 27,635 inquiries on about 7,147 rare and genetic diseases. Requests come not only from patients and their families, but also from physicians, nurses and other health-care professionals. GARD also has proved useful to genetic counselors, occupational and physical therapists, social workers, and teachers who work with people with a genetic or rare disease. Even scientists who are studying a genetic or rare disease and who need information for their research have contacted GARD, as have people who are taking part in a clinical study. Community leaders looking to help people find resources for those with genetic or rare diseases and advocacy groups who want up-to-date disease information for their members have contacted GARD. And members of the media who are writing stories about genetic or rare diseases have found the information GARD has on hand useful, accurate and complete. GARD has information on: :- What is known about a genetic or rare disease. :- What research studies are being conducted. :- What genetic testing and genetic services are available. :- Which advocacy groups to contact for a specific genetic or rare disease. :- What has been written recently about a genetic or rare disease in medical journals. GARD information specialists get their information from: :- NIH resources. :- Medical textbooks. :- Journal articles. :- Web sites. :- Advocacy groups, and their literature and services. :- Medical databases.

Proper citation: Genetic and Rare Diseases Information Center (RRID:SCR_008695) Copy   

•   Source: SciCrunch Registry

http://www.math.mcgill.ca/keith/surfstat

A Matlab toolbox for the statistical analysis of univariate and multivariate surface data using linear mixed effects models and random field theory.

Proper citation: SurfStat (RRID:SCR_007081) Copy   

•   Source: SciCrunch Registry

http://iczn.org/

An organization that acts as adviser and arbiter for the zoological community by generating and disseminating information on the correct use of the scientific names of animals. The ICZN is responsible for producing the International Code of Zoological Nomenclature - a set of rules for the naming of animals and the resolution of nomenclatural problems.

Proper citation: ICZN (RRID:SCR_010241) Copy   

•   Source: SciCrunch Registry

http://www.armystarrs.org/

Study of mental health risk and resilience factors ever conducted among military personnel. The purpose of Army STARRS is to identify as quickly as possible factors that protect or pose risks to Soldiers'' emotional well-being and overall mental health so that the Army may apply the knowledge to its ongoing health promotion, risk reduction, and suicide prevention efforts. Army STARRS investigators will use four separate study components the Historical Data Study, New Soldier Study, All Army Study, and Soldier Health Outcomes Study to identify factors that help protect a Soldier''s mental health and factors that put a Soldier''s mental health at risk. Army STARRS is a five-year study that will run through 2014. Findings will be reported as they become available, so that the Army may apply them to its ongoing health promotion, risk reduction, and suicide prevention efforts. Given its length and scope, Army STARRS will generate a vast amount of information and will allow investigators to focus on periods in a military career that are known to be high risk for psychological problems. The information gathered from volunteer participants throughout the study will help researchers identify not only potentially relevant risk factors, but potential protective factors as well. Because promoting mental health and reducing suicide risk are important for all Americans, the findings from Army STARRS will benefit not only servicemembers but the nation as a whole. NIMH has assembled a group of renowned experts to carry out this research including teams from the Uniformed Services University of the Health Sciences (USUHS), the University of California, San Diego, University of Michigan, Harvard Medical School, and NIMH. Additional Army and NIMH program staff will contribute to the oversight and implementation of the study. This research team brings together international leaders in military health, health and behavior surveys, epidemiology, suicide, and genetic and neurobiological factors involved in psychological health.

Proper citation: Army STARRS (RRID:SCR_006708) Copy   

•   Source: SciCrunch Registry

https://medicine.missouri.edu/departments/medical-pharmacology-and-physiology

The Department of Medical Pharmacology and Physiology has been known for outstanding programs in exercise physiology and cardiovascular physiology. The Department offers both Master of Science (MS) and Doctor of Philosophy (PhD) degree programs that provide students with excellent preparation for a variety of challenging and rewarding careers. The degrees offered are programs in Pharmacology or Physiology. The Medical Pharmacology and Physiology Department and its modern research and teaching facilities are on campus in the School of Medicine. The research laboratories of the faculty have excellent equipment and maintenance support. The award-winning Health Sciences Library, containing a wide variety of current journals and resource books, is located in the School of Medicine. Modern student computer stations are also available. Animal quarters and animal care are under the direction of qualified veterinarians. Other important University facilities include a nuclear reactor for providing short-lived radioisotopes and a campus-wide computer network. The Center for Gender Physiology manages four core facilities that provide animal models, equipment and expertise required to explore gender differences in physiological function.

Proper citation: University of Missouri Department of Medical Pharmacology and Physiology (RRID:SCR_007518) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/epigendx

EpigenDx is a genomic and epigenomic research company specializing in disease biomarker discovery and molecular diagnosis. The company provides products related to DNA methylation analysis research. Currently available products include DNA methylation controls and validated DNA methylation assays for human, mouse, and rat. EpigenDx also provides products and laboratory services for scientific researchers from academic, government and industrial communities. Our commitment to quality comes from our desire and dedication to provide the best products and services to our customers. EpigenDx has knowledge and expertise in Pyrosequencing and its many applications. CpG methylation and allele quantification analysis are conducted using Qiagen-Pyrosequencing PSQ MD system, while short-read sequence analysis is carried out using Qiagen-Pyrosequencing PSQ ID system.

Proper citation: EpigenDx (RRID:SCR_012624) Copy   

•   Source: SciCrunch Registry

http://research.mssm.edu/cnic/

Center to advance research and training in mathematical, computational and modern imaging approaches to understanding the brain and its functions. Software tools and associated reconstruction data produced in the center are available. Researchers study the relationships between neural function and structure at levels ranging from the molecular and cellular, through network organization of the brain. This involves the development of new computational and analytic tools for imaging and visualization of 3-D neural morphology, from the gross topologic characteristics of the dendritic arbor to the fine structure of spines and their synapses. Numerical simulations of neural mechanisms based on these structural data are compared with in-vivo and in-vitro electrophysiological recordings. The group also develops new theoretical and analytic approaches to exploring the function of neural models of working memory. The goal of this analytic work is to combine biophysically realistic models and simulations with reduced mathematical models that capture essential dynamical behaviors while reproducing the functionally important features of experimental data. Research areas include: Imaging Studies, Volume Integration, Visualization Techniques, Medial Axis Extraction, Spine Detection and Classification, Applications of Rayburst, Analysis of Spatially Complex Structures, Computational Modeling, Mathematical and Analytic Studies

Proper citation: Computational Neurobiology and Imaging Center (RRID:SCR_013317) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/msa/muscle/

Multiple sequence alignment method with reduced time and space complexity.Multiple sequence alignment with high accuracy and high throughput. Data analysis service for multiple sequence comparison by log- expectation.

Proper citation: MUSCLE (RRID:SCR_011812) Copy   

•   Source: SciCrunch Registry

https://web.njit.edu/~matveev/calc.html

A modeling tool for simulating intracellular calcium diffusion and buffering. CalC solves continuous reaction-diffusion PDEs describing the entry of calcium into a volume through point-like channels, and its diffusion, buffering and binding to calcium receptors. Its features include: being platform-independent; being operated by simple script; combinable with MATLAB; and providing real-time views. Demos and manuals are provided on the website.

Proper citation: CalC (RRID:SCR_014259) Copy   

•   Source: SciCrunch Registry

https://www.mcgill.ca/bic/resources/omega

Open data repository fully dedicated to MEG data in raw and processed form. The archive also contains anatomical MRI volumes and demographic and questionnaire information. Organized and stored as the Brain Imaging Data Structure (BIDS) with the integration of multimodal electrophysiology data. Directly readable by data-analysis software with Brainstorm. OMEGA will continue to expand, with contributions from the scientific community.

Proper citation: Open MEG Archive (RRID:SCR_014930) Copy   

•   Source: SciCrunch Registry

http://www.fsma.org/

Families of Spinal Muscular Atrophy is dedicated to creating a treatment and cure by: - Funding and advancing a comprehensive research program; - Supporting SMA families through networking, information and services; - Improving care for all SMA patients; - Educating health professionals and the public about SMA; - Enlisting government support for SMA; - Embracing all touched by SMA in a caring community. Our vision is a world where Spinal Muscular Atrophy is treatable and curable.

Proper citation: Families of SMA (RRID:SCR_010618) Copy   

•   Source: SciCrunch Registry

http://www.novocraft.com/products/novoalign/

Software tool designed for mapping short reads onto a reference genome generated from Illumina, Ion Torrent, and 454 NGS platforms. Its features include paired end alignment, methylation status analysis, automatic base quality calibration, and in built adapter trimming and base quality trimming.

Proper citation: NovoAlign (RRID:SCR_014818) Copy   

•   Source: SciCrunch Registry

https://evidencemodeler.github.io/

Software tool for automated eukaryotic gene structure annotation that reports eukaryotic gene structures as weighted consensus of all available evidence. Used to combine ab intio gene predictions and protein and transcript alignments into weighted consensus gene structures. Inputs include genome sequence, gene predictions, and alignment data (in GFF3 format).

Proper citation: EVidenceModeler (RRID:SCR_014659) Copy   

•   Source: SciCrunch Registry

http://pasapipeline.github.io/

Gene structure annotation and analysis tool that uses spliced alignments of expressed transcript sequences to automatically model gene structures. It also incorporates gene structures based on transcript alignments into existing gene structure annotations. It is one component of a larger eukayotic annotation pipeline implemented at the Broad Institute.

Proper citation: PASA (RRID:SCR_014656) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://iidp.coh.org/Default.aspx

The goal of the Integrated Islet Distribution Program (IIDP) is to work with the leading islet isolation centers in the U.S. to distribute high quality human islets to the diabetes research community, in order to advance scientific discoveries and translational medicine.

Proper citation: Integrated Islet Distribution Program (IIDP) (RRID:SCR_014387) Copy   

•   Source: SciCrunch Registry

http://grcf.med.jhu.edu

Makes DNA sequencing services, Real Time PCR access and custom DNA products available to scientists. It provides automated fluorescent sequencing and oligonucleotides to the Hopkins Community. Using the JHU Finch Server facility staff capture orders, to distribute and store data indefinitely. Data produced using the Applied Biosystems 3730xl DNA Analyzer is then made available for download, for online or offline viewing, and for editing through the conveniences of the web-based JHU Finch Server. The facility also offers oligonucleotides through Sigma-Genosys.

Proper citation: Genetic Resources Core Facility (RRID:SCR_010581) Copy   

•   Source: SciCrunch Registry

http://www.mathworks.com/help/fuzzy/index.html

A software toolbox which provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating fuzzy logic systems. Fuzzy Logic Toolbox allows users to model complex system behaviors using simple logic rules, and then implement these rules in a user-designed fuzzy inference system. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning. The toolbox can be used as a stand-alone fuzzy inference engine or in connection with Simulink. Different versions of the software are available for specific fuzzy inference systems.

Proper citation: Fuzzy Logic Toolbox (RRID:SCR_014268) Copy   

•   Source: SciCrunch Registry

https://github.com/nbcrrolls/workflows/tree/master/Production/AmberGPUMDSimulation

A workflow for running molecular dynamics simulations. It can be used for all-atom molecular dynamic simulations, which involve five steps of minimization, one step of heating, three steps of equilibration, and one or more instances of production. The input is a set of directories that include the MD simulation input scripts, system topology and coordinate files. Output files are list of plots, simulation trajectories, intermediate files, restart files, and the like.

Proper citation: Molecular Dynamics Workflow (BioKepler) (RRID:SCR_014389) Copy   

•   Source: SciCrunch Registry

https://code.google.com/archive/p/edlut/

Simulation software which creates spiking cell models using either a time-driven strategy or an event-driven strategy based on look-up tables. EDLUT serves as a tool for studying the computational principles of neural systems to reveal how different functionalities of the brain and central nervous system are based on cell and topology properties.

Proper citation: EDLUT (RRID:SCR_014261) Copy   

•   Source: SciCrunch Registry