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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://shendurelab.github.io/MIPGEN/
Software for a fast, simple way to generate designs for MIP assays targeting hundreds or thousands of genomic loci in parallel. Packaged with MIPgen are scripts that aid in visualization of MIP designs and processing of MIP sequence reads to SAM files that can then be passed through any standard variant calling pipeline.
Proper citation: MIPgen (RRID:SCR_003325) Copy
http://neuroscience.med.cornell.edu/
The Weill Medical College of Cornell University has a long tradition of neuroscience research. The faculty is large, and the research programs tackle the fundamental questions in the field at all levels - from genes to cells to systems to behavior. The neuroscience community at Weill Cornell spans two campuses. The main one, containing the medical school and associated hospitals, is located on the upper east side of Manhattan, adjacent to Rockefeller University and across the street from the Memorial Sloan-Kettering Cancer Center. The second campus, with the rapidly growing Burke-Cornell Research Institute, is located in White Plains. The following graduate programs are offered: Neuroscience PhD, Tri-Institutional MD-PhD, Physiology and Biophysics, and Tri-Institutional Graduate program in Computational Biology and Medicine.
Proper citation: Cornell University Neuroscience (RRID:SCR_003324) Copy
https://www.msu.edu/~brains/index.html
The Brain Biodiversity Bank refers to the repository of images of and information about brain specimens contained in the collections associated with the National Museum of Health and Medicine at the Armed Forces Institute of Pathology in Washington, DC. Atlases and brain sections are available for a variety of mammals, and we are also developing a series of labeled atlases of stained sections for educators, students, and researchers. These collections include, besides the Michigan State University Collection, the Welker Collection from the University of Wisconsin, the Yakovlev-Haleem Collection from Harvard University, the Meyer Collection from the Johns Hopkins University, and the Huber-Crosby and Crosby-Lauer Collections from the University of Michigan. What we are doing currently at Michigan State is a series of demonstration projects for publicizing the contents of the collections and ways in which they can be used. For example, the images from the collection can be used for comparative brain study. We have prepared databases of the contents of the collections for presentation and use on this site, as well as for downloading by users in several formats. We are also developing a series of labeled atlases of stained sections for educators, students, and researchers. This internet site is associated with the Comparative Mammalian Brain Collections site. All of the images are in JPEG or GIF format.
Proper citation: Michigan State University Brain Biodiversity Bank (RRID:SCR_003289) Copy
https://code.google.com/p/popoolation2/
Software to compare allele frequencies for SNPs between two or more populations and to identify significant differences. PoPoolation2 requires next generation sequencing data of pooled genomic DNA (Pool-Seq). It may be used for measuring differentiation between populations, for genome wide association studies and for experimental evolution., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: PoPoolation2 (RRID:SCR_003284) Copy
http://www.yaleruddcenter.org/
A non-profit research and public policy organization devoted to improving the worlds diet, preventing obesity, and reducing weight stigma.
Proper citation: Yale Rudd Center for Food Policy and Obesity (RRID:SCR_003283) Copy
http://purl.bioontology.org/ontology/FB-CV
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.
Proper citation: FlyBase Controlled Vocabulary (RRID:SCR_003318) Copy
http://www.brainbank.mclean.org/
Biomaterial supply resource that acquires, processes, stores, and distributes postmortem brain specimens for brain research. Various types of brain tissue are collected, including those with neurological and psychiatric disorders, along with their parents, siblings and offspring. The HBTRC maintains an extensive collection of postmortem human brains from individuals with Huntington's chorea, Alzheimer's disease, Parkinson's disease, and other neurological disorders. In addition, the HBTRC also has a collection of normal-control specimens.
Proper citation: Harvard Brain Tissue Resource Center (RRID:SCR_003316) Copy
http://purl.bioontology.org/ontology/FYPO
A formal ontology of phenotypes observed in fission yeast that is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource. Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.
Proper citation: Fission Yeast Phenotype Ontology (RRID:SCR_003315) Copy
https://github.com/outbig/DAFGA
A python script package which estimates the evolutionary rate of a particular functional gene in a standardized manner by relating its sequence divergence to that of the 16S rRNA gene. It provides gene-specific parameter sets for OTU clustering and taxonomic assignment at desired rank, and it can be implemented into the diversity measurements offered by QIIME or Mothur.
Proper citation: DAFGA (RRID:SCR_003319) Copy
http://www.agingintervention.org/
A 501(c)(3) non-profit organization that gives out grants created to develop new therapies to control and reverse the causes of aging, as well as treat and prevent the diseases of aging. The goal is to eventually control the processes of aging, reverse their effects, and stay younger longer and ultimately create indefinite youthful, happy and productive lifespan using innovative scientific methods that are under development today in biotech companies and research labs around the world. The foundation also offers education on what we can do now to stay younger, live longer and be happier while new therapies are being developed.
Proper citation: Aging Intervention Foundation (RRID:SCR_008288) Copy
The Computation and Neural Systems degree program is organized jointly by the Division of Biology, the Division of Engineering and Applied Science, and the Division of Physics, Mathematics and Astronomy. It is the program''s objective to provide a broad knowledge of this inherently multidisciplinary field, while at the same time requiring an appropriate depth of knowledge in the particular field of the thesis research. For example, a student working on cooperative circuits for early visual processing will also develop an in-depth knowledge of the anatomy and electrophysiology of early visual areas and a knowledge of visual psychophysics. A student working on olfactory cortex electrophysiology and its simulation would include the study of concurrent processing and the ethology of olfaction, and the relevant knowledge of dynamical and collective systems. A student working on the theory of complex systems could study collective and statistical properties of physics as well as the anatomical and algorithmic structure of biological and applied networks. Sponsors: The computational and neural systems is funded by the California Institute of Technology.
Proper citation: Computational and Neural Systems (RRID:SCR_008316) Copy
http://www.strout.net/conical/
CONICAL is a C++ class library for building simulations common in computational neuroscience. Currently its focus is on compartmental modeling, with capabilities similar to GENESIS and NEURON. Future classes may support reaction-diffusion kinetics and more. A key feature of CONICAL is its cross-platform compatibility; it has been fully co-developed and tested under Unix, DOS, and Mac OS. Any C++ compiler which adheres to the emerging ANSI standard should be able to compile the CONICAL classes without modification. It is intended to encourage the rapid development of simulator software, especially on non-Unix systems where such software is sorely lacking. The present focus of the CONICAL library of C++ classes is compartmental modeling. A model neuron is built out of compartments, usually with a cylindrical shape. When small enough, these open-ended cylinders can approximate nearly any geometry, just as the stack of cylinders approximates a cone in the logo above. While any compartment has passive electrical properties (like a simple resistor-capacitor circuit), more interesting properties require the use of active ion channels whose conductance varies as a function of the time or membrane voltage. A standard Hodgkin-Huxley ion channel is included as one of the built-in CONICAL object types. Most of the voltage-gated ion channels in the literature can be directly implemented merely by setting the parameters of this class. For extensibility, this class is derived from several layers of more general classes. Connections between neurons can be implemented in several ways. For a gap junction (i.e., simple electrical connection), a passive current (or pair of currents, one in each direction) can be used. Synapses are more complex objects, but used in a similar fashion. The Alpha-function synapse is a very popular model of synaptic transmission, and is a basic CONICAL class. More complex (and realistic) synapses can be built using the Markov-model synapse. (A Markov model can be used on its own for other purposes as well.) In addition to classes directly related to neural modeling, CONICAL contains several other useful object types. These include a current injector, and a column-oriented output stream for storing data in table form.
Proper citation: Conical: The Computational Neuroscience Class Library (RRID:SCR_008318) Copy
http://www.ieee.org/portal/site/iportals?WT.mc_id=hplogo_upleft
IEEE is the worlds largest professional association advancing innovation and technological excellence for the benefit of humanity. IEEE and its members inspire a global community to innovate for a better tomorrow through its highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted voice for engineering, computing and technology information around the globe. Through its global membership, IEEE is a leading authority on areas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics among others. Members rely on IEEE as a source of technical and professional information, resources and services. To foster an interest in the engineering profession, IEEE also serves student members in colleges and universities around the world. Other important constituencies include prospective members and organizations that purchase IEEE products and participate in conferences or other IEEE programs. IEEE has: -more than 375,000 members in more than 160 countries; 45 percent of whom are from outside the United States -more than 80,000 student members -329 sections in ten geographic regions worldwide -1,860 chapters that unite local members with similar technical interests -1,789 student branches in 80 countries -483 student branch chapters at colleges and universities -390 affinity groups -- IEEE Affinity Groups are non-technical sub-units of one or more Sections or a Council. The Affinity Group patent entities are Consultants'' Network, Graduates of the Last Decade (GOLD), Women in Engineering (WIE) and Life Members (LM) IEEE''s core purpose is to foster technological innovation and excellence for the benefit of humanity. It will be essential to the global technical community and to technical professionals everywhere, and be universally recognized for the contributions of technology and of technical professionals in improving global conditions., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: IEEE (RRID:SCR_008314) Copy
TRACK-HD is a multi-centermulti-national prospective, observational biomarker study of premanifest and early stage HD with no experimental treatment. Objectives: - determine what combination of measures is the most sensitive for detecting change over the natural course of premanifest and early HD - to validate these as potential outcome measures for use in future therapeutic trials Design: - focused on intensive battery of novel assessments - extensive annual assessments - dynamic and fluid protocol - robust evidence-based measures TRACK-HD is a major new international study of Huntingtons disease. It aims to be the most comprehensive study of premanifest and early HD, and will define the best combination of assessments to be used in clinical trials of disease-modifying treatments in HD. TRACK-HD began in January 2008 and involves 360 subjects at 4 sites internationally. Sponsors: This resource is supported by The UK Medical Research Council (MRC), CHDI Foundation, Inc., The Euro-HD Network, The Wellcome Trust, The Department of Health, The Huntingtons Disease Association, and The Brain Research Trust. Keywords: Biomarker, Experimental, Treatment, Research, Therapeutic, Trail, Hunginton''s, Disease, Health,
Proper citation: Track-HD (RRID:SCR_008397) Copy
http://ipmb.sinica.edu.tw/affy/
Affymetrix Gene Expression Service Lab, AGESL was established by IPMB, IMB and IBS, Academia Sinica and opened for service in June 2004. The lab provides a full service from quality control of customer-provided RNA samples to raw data acquisition, including Affymetrix recommended QC procedures, cDNA synthesis, in vitro transcription, fragmentation, hybridization, washing, staining and scanning. Sponsors: This resource is supported by Affymetrix, Inc. Keywords: Gene, Expression, Service, Laboratory, RNA, Data, Synthesis, cDNA, In vitro, Transcription, Fragmentation, Hybrdization, Washing, Staining, Scanning,
Proper citation: Affymetrix Gene Expression Service Lab (RRID:SCR_008396) Copy
http://www.youtube.com/education?b=400
This resource is geared towards providing educational video in various fields. All the videos are compiled from various sources and are freely accessible. Some of the topics covered are: - Business - Education - Engineering - Fine Arts & Design - Health & Medicine - History - Humanities - Journalism & Media - Law - Literature - Mathematics - Science - Social Science Sponsors: This resource is supported by YouTube, LLC.
Proper citation: YouTube Educational Portal (RRID:SCR_008310) Copy
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
http://www.loni.usc.edu/Software/jViewbox
A portable software framework for medical imaging research. jViewbox consists of a set of Java classes organized under a simple but extensive API that provides the core functionality of 2D image presentation needed by most imaging applications. It follows Java's Swing model closely to make it easy for application developers to build GUIs where end users can use various tools in a tool bar to manipulate the image displays. No optional add-ons or native code is used, which makes jViewBox compatible with any standard Java 2 Runtime Environment (version 1.3 or later).
Proper citation: jViewbox (RRID:SCR_008274) Copy
http://salilab.org/modeller/modeller.html
Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms.
Proper citation: MODELLER (RRID:SCR_008395) Copy
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