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http://www.phrap.org/consed/consed.html

A graphical tool for sequence finishing (BAM File Viewer, Assembly Editor, Autofinish, Autoreport, Autoedit, and Align Reads To Reference Sequence)

Proper citation: Consed (RRID:SCR_005650) Copy   

•   Source: SciCrunch Registry

http://www.na-mic.org/Wiki/index.php/SoftwareInventory

A free open source software platform consisting of the 3D Slicer application software, a number of tools and toolkits such as VTK and ITK, and a software engineering methodology that enables multiplatform implementations. It also draws on other best practices from the community to support automatic testing for quality assurance. The NA-MIC kit uses a modular approach, where the individual components can be used by themselves or together. The NA-MIC kit is fully-compatible with local installation (behind institutional firewalls) and installation as an internet service. Significant effort has been invested to ensure compatibility with standard file formats and interoperability with a large number of external applications. Users of the NAMIC Kit will typically use a combination of its many modular components. * 3D Slicer is a general purpose application. Biomedical researchers will typically use this software tool to load, view, analyze, process and save image data. Slicer has been implemented to interoperate with many other tools, including XNAT, which is an open source image database. * Slicer modules, which are dynamically loaded by Slicer at run-time, can be used to extend Slicer''''s core functionality including defining graphical user interfaces. Modules are typically used by algorithms and application developers. * Application and algorithms developers may also use NA-MIC Kit toolkits and libraries. For example, the Insight Segmentation and Registration Toolkit ITK can be used to develop slicer modules for medical image analysis. The Visualization Toolkit can be used to process, visualize and graphically interact with data. KWWidgets is a 2D graphical user interface toolset that can be used to build applications. Teem is a library of general purpose command-line tools that are useful for processing data. Finally, those individuals wishing to create and manage complex software, the NAMIC-Kit software process is available as embodied in CMake, CTest, CPack, DART and the various documentation, bug tracking and communication tools.

Proper citation: NA-MIC Kit (RRID:SCR_005616) Copy   

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http://compgen.bscb.cornell.edu/phast/

A freely available software package for comparative and evolutionary genomics that consists of about half a dozen major programs, plus more than a dozen utilities for manipulating sequence alignments, phylogenetic trees, and genomic annotations. For the most part, PHAST focuses on two kinds of applications: the identification of novel functional elements, including protein-coding exons and evolutionarily conserved sequences; and statistical phylogenetic modeling, including estimation of model parameters, detection of signatures of selection, and reconstruction of ancestral sequences. It consists of over 60,000 lines of C code.

Proper citation: PHAST (RRID:SCR_003204) Copy   

•   Source: SciCrunch Registry

http://www.scripps.edu/research/

Nonprofit American medical research facility that focuses on research and education in the biomedical sciences. Headquartered in San Diego, California with a sister facility in Jupiter, Florida, the institute has laboratories employing scientists, technicians, graduate students, and administrative and other staff, making it the largest private, non-profit biomedical research organization in the United States and among the largest in the world.

Proper citation: Scripps Research Institute (RRID:SCR_001907) Copy   

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http://www.stanford.edu/group/brainsinsilicon/neurogrid.html

A specialized hardware platform that will perform cortex-scale emulations while offering software-like flexibility. With sixteen 12x14 sq-mm chips (Neurocores) assembled on a 6.5x7.5 sq-in circuit board that can model a slab of cortex with up to 16x256x256 neurons - over a million! The chips are interconnected in a binary tree by 80M spike/sec links. An on-chip RAM (in each Neurocore) and an off-chip RAM (on a daughterboard, not shown) softwire vertical and horizontcal cortical connections, respectively. It provides an affordable option for brain simulations that uses analog computation to emulate ion-channel activity and uses digital communication to softwire synaptic connections. These technologies impose different constraints, because they operate in parallel and in serial, respectively. Analog computation constrains the number of distinct ion-channel populations that can be simulatedunlike digital computation, which simply takes longer to run bigger simulations. Digital communication constrains the number of synaptic connections that can be activated per secondunlike analog communication, which simply sums additional inputs onto the same wire. Working within these constraints, Neurogrid achieves its goal of simulating multiple cortical areas in real-time by making judicious choices.

Proper citation: Neurogrid (RRID:SCR_005024) Copy   

•   Source: SciCrunch Registry

http://www.feinsteininstitute.org/Feinstein/Feinstein+HomePage

The Feinstein Institute for Medical Research is the research branch of the North Shore-Long Island Jewish Health System. Biomedical research has been a vital aspect of its two academic medical centers North Shore University Hospital and Long Island Jewish Medical Center since their establishment in the early 1950''s. Through its connection to the hospital system, the Institute bridges the gap between biomedical research and patient care, accessing hundreds of thousands of patients in the health system''s 15 hospitals, four long-term care facilities, three trauma centers, six home health agencies and dozens of outpatient facilities. Institute scientists collaborate with clinicians throughout the system to shed light on basic biological processes underlying disease. This knowledge is used to develop new therapies and diagnostics. Currently, more than 800 scientists and investigators are conducting research in oncology, immunology and inflammation, genetics, psychiatry, neurology, pediatrics, surgery, urology, obstetrics/gynecology and many other specialties. In 2008, the Feinstein received funding from the National Institutes of Health in excess of $28 million, and an additional $10 million from other federal sources. Total annual research funding from all sources exceeded $44 million in 2008. We stand at the threshold of an extraordinary time in medicine. Over the last 100 years, biomedical science has progressed very rapidly. Advances coming from the integration of genomics, proteomics and bioinformatics into the biomedical toolkit hold the promise that this transformation will continue well into the 21st century. The Feinstein Institute for Medical Research is a growing force in research innovation, education and progress.

Proper citation: Feinstein Institute for Medical Research (RRID:SCR_004470) Copy   

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http://www.pbrc.edu/default.asp

Research institute which investigates chronic disease and its triggers.

Proper citation: Pennington Biomedical Research Center (RRID:SCR_002946) Copy   

•   Source: SciCrunch Registry

https://github.com/wlloyduw/ContainerProfiler

Software tool supports profiling resource utilization including CPU, memory, disk, and network metrics of containerized tasks. Resource utilization metrics are obtained across three levels: virtual machine (VM)/host, container, and process. Implementation leverages facilities provided by Linux operating system that is integral with Docker containers.

Proper citation: ContainerProfiler (RRID:SCR_023770) Copy   

•   Source: SciCrunch Registry

http://www.biosyn.com/

A commercial supplier of custom synthetic molecules. They specialize in peptides, oligonucleotides, bioconjugation, molecular biology services, proteins and specialty chemistry.

Proper citation: Bio-Synthesis (RRID:SCR_000820) Copy   

•   Source: SciCrunch Registry

https://ncats.nih.gov/grdr/rdhub

A database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. Its goals are: To help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for their research; to facilitate collaboration and sharing of material and data among investigators across the globe; to accelerate research to facilitate the discovery of new treatments, therapeutics and eventually cures for rare diseases as well as common diseases; to identify, locate and increase the awareness of existing biorepositories across the globe; and to link the RD-HUB with the Global Rare Diseases Patient Registry and Data Repository (GRDR).

Proper citation: Biospecimens/Biorepositories: Rare Disease-HUB (RD-HUB) (RRID:SCR_004327) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/USIDNET/?SsId=15

The USIDNET DNA and Cell Repository has been established as part of an NIH-funded program - the US Immunodeficiency Network - to provide a resource of DNA and functional lymphoid cells obtained from patients with various primary immunodeficiency diseases. These uncommon disorders include patients with defects in T cell, B cell and/or granulocyte function as well as patients with abnormalities in antibodies / immunoglobulins, complement and other host defense mechanisms. All samples in this Repository have been de-identified to protect the privacy of the individual donors. The USIDNET also operates a Patient Data Registry in addition to this Repository and certain clinical data relating to a specific sample may be available through the Registry for some of the patient samples in the Repository collection. Materials in the collection are being made available at modest cost to qualified investigators in academic and commercial organizations in an effort to stimulate research to increase understanding of these orphan diseases and to promote development of new treatments. Requestors are required to complete a Statement of Research Intent briefly describing their proposed use of materials obtained from the Repository and must sign an Assurance agreeing to conditions established by USIDNET for distribution of samples from its collection. Requestors wishing to obtain additional clinical data specific to individual samples in the Repository collection must make a separate application for that information to the Registry (see www.usidnet.org) Physicians or Patients wishing to submit cell samples for the Repository collection should first contact Coriell to arrange for the Repository to send them the correct sample collection tubes as well as prepaid mailers for returning the collected sample(s) to Coriell. Separate collection and shipping procedures may be involved depending on how many samples are to be shipped at one time and whether the shipment will involve freshly obtained blood or already established cell lines.

Proper citation: USIDNET DNA and Cell Repository (RRID:SCR_004661) Copy   

•   Source: SciCrunch Registry

http://ki.se/en/meb/twingene-and-genomeeutwin

In collaboration with GenomeEUtwin, the TwinGene project investigates the importance of quantitative trait loci and environmental factors for cardiovascular disease. It is well known that genetic factors are of considerable importance for some familial lipid syndromes and that Type A Behavior pattern and increased lipid levels infer increased risk for cardiovascular disease. It is furthermore known that genetic factors are of importance levels of blood lipid biomarkers. The interplay of genetic and environmental effects for these risk factors in a normal population is less well understood and virtually unknown for the elderly. In the TwinGene project twins born before 1958 are contacted to participate. Health and medication data are collected from self-reported questionnaires, and blood sampling material is mailed to the subject who then contacts a local health care center for blood sampling and a health check-up. In the simple health check-up, height, weight, circumference of waist and hip, and blood pressure are measured. Blood is sampled for DNA extraction, serum collection and clinical chemistry tests of C-reactive protein, total cholesterol, triglycerides, HDL and LDL cholesterol, apolipo��protein A1 and B, glucose and HbA1C. The TwinGene cohort contains more than 10000 of the expected final number of 16000 individuals. Molecular genetic techniques are being used to identify Quantitative Trait Loci (QTLs) for cardiovascular disease and biomarkers in the TwinGene participants. Genome-wide linkage and association studies are ongoing. DZ twins have been genome-scanned with 1000 STS markers and a subset of 300 MZ twins have been genome-scanned with Illumina 317K SNP platform. Association of positional candidate SNPs arising from these genomscans are planned. The TwinGene project is associated with the large European collaboration denoted GenomEUtwin (www.genomeutwin.org, see below) which since 2002 has aimed at gathering genetic data on twins in Europe and setting up the infrastructure needed to enable pooling of data and joint analyses. It has been the funding source for obtaining the genome scan data. Types of samples: * EDTA whole blood * DNA * Serum Number of sample donors: 12 044 (sample collection completed)

Proper citation: KI Biobank - TwinGene (RRID:SCR_006006) Copy   

•   Source: SciCrunch Registry

http://ki-su-arc.se/dementia-in-swedish-twins-harmony/

A twin study characterizing the importance of genetic factors for dementia and using discordant twin pairs to study other putative risk factors which control for genetic propensity to develop the disease. Molecular genetic studies have identified a number of mutations and other markers associated with early age of onset Alzheimer''''s disease. However, most cases of late age of onset dementia are considered sporadic, that is, without a clear genetic basis. Twin studies provide a unique opportunity to characterize the importance of genetic factors for dementia. Discordant twin pairs additionally provide the opportunity to study other putative risk factors which controlling for genetic propensity to develop the disease. In the first wave of the Study of Dementia in Swedish Twins, all SATSA twins born before 1935 have been screened for dementia symptoms. Over 190 suspects have been identified. This pilot study has been expanded to the entire registry in the study known as HARMONY. All twins aged 65 and older were invited to participate in a computer assisted telephone screening interview. A total of 13,519 individuals completed the interview (response rate = 75.9%). Dementia screening was based on the TELE, which includes the 10-item MSQ, other cognitive items (counting backwards, recalling three words, and similarities), and questions about health and daily functioning; or on Blessed scores obtained from a proxy interview. Among those screened, 1565 were positive for suspicion of dementia and were referred for complete clinical evaluation by a physician and a nurse. Once the preliminary in-person evaluation suggested that the suspected case was demented, the twin partner was also invited for an identical clinical work-up. Response rate for clinical evaluations is 71.4%. Approximately half of those visited for evaluation have been diagnosed as demented according to DSM-IV criteria, of which two-thirds have Alzheimer''''s disease. An extensive assessment of probable risk exposure is also included. Longitudinal follow-up is yet another feature of the study. Association studies with candidate genes are also being performed. Types of samples * DNA Number of sample donors * 1154 (sample collection completed)

Proper citation: KI Biobank - HARMONY (RRID:SCR_008884) Copy   

•   Source: SciCrunch Registry

https://em-lab.berkeley.edu/EML/zeiss-xb-550-sem

Zeiss Crossbeam 550 (sometimes referred to as the XB 550) is dual-beam system that combines the Gemini 2 SEM with the Ion-sculptor FIB (Focused Ion Beam) for advanced materials analysis and sample preparation. XB 550 combined with the Leica EM VCT 500 is a highly specialized system designed for advanced cryogenic workflows in materials and life sciences. It enables researchers to investigate and prepare samples at ultra-low temperatures without exposing them to air or contamination.

Proper citation: Zeiss: Crossbeam 550 with Leica VCT 500 Cryo-Suite (RRID:SCR_028555) Copy   

•   Source: SciCrunch Registry

https://cosmiic.org/

Open source neurostimulation and recording hardware instrument platform. Part of the SPARC project. COSMIIC is based on the Networked Neuroprosthesis developed at Case Western Reserve University.

Proper citation: COSMIIC HORNET (RRID:SCR_023679) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/NIHbmic/nih_data_sharing_repositories.html

A listing of NIH supported data sharing repositories that make data accessible for reuse. Most accept submissions of appropriate data from NIH-funded investigators (and others), but some restrict data submission to only those researchers involved in a specific research network. Also included are resources that aggregate information about biomedical data and information sharing systems. The table can be sorted according by name and by NIH Institute or Center and may be searched using keywords so that you can find repositories more relevant to your data. Links are provided to information about submitting data to and accessing data from the listed repositories. Additional information about the repositories and points-of-contact for further information or inquiries can be found on the websites of the individual repositories.

Proper citation: NIH Data Sharing Repositories (RRID:SCR_003551) Copy   

•   Source: SciCrunch Registry

http://dockground.bioinformatics.ku.edu/

Data sets, tools and computational techniques for modeling of protein interactions, including docking benchmarks, docking decoys and docking templates. Adequate computational techniques for modeling of protein interactions are important because of the growing number of known protein 3D structures, particularly in the context of structural genomics. The first release of the DOCKGROUND resource (Douguet et al., Bioinformatics 2006; 22:2612-2618) implemented a comprehensive database of cocrystallized (bound) protein-protein complexes in a relational database of annotated structures. Additional releases added features to the set of bound structures, such as regularly updated downloadable datasets: automatically generated nonredundant set, built according to most common criteria, and a manually curated set that includes only biological nonobligate complexes along with a number of additional useful characteristics. Also included are unbound (experimental and simulated) protein-protein complexes. Complexes from the bound dataset are used to identify crystallized unbound analogs. If such analogs do not exist, the unbound structures are simulated by rotamer library optimization. Thus, the database contains comprehensive sets of complexes suitable for large scale benchmarking of docking algorithms. Advanced methodologies for simulating unbound conformations are being explored for the next release. The Dockground project is developed by the Vakser lab at the Center for Bioinformatics at the University of Kansas. Parts of Dockground were co-developed by Dominique Douguet from the Center of Structural Biochemistry (INSERM U554 - CNRS UMR5048), Montpellier, France.

Proper citation: Dockground: Benchmarks, Docoys, Templates, and other knowledge resources for DOCKING (RRID:SCR_007412) Copy   

•   Source: SciCrunch Registry

https://amoebadb.org/amoeba/

Integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. Contains genomes of three Entamoeba species and microarray expression data for E. histolytica. Integrates whole genome sequence and annotation and includes experimental data and environmental isolate sequences provided by community researchers.

Proper citation: AmoebaDB (RRID:SCR_017592) Copy   

•   Source: SciCrunch Registry

http://www.gensat.org/

Gene expression data and maps of mouse central nervous system. Gene expression atlas of developing adult central nervous system in mouse, using in situ hybridization and transgenic mouse techniques. Collection of pictorial gene expression maps of brain and spinal cord of mouse. Provides tools to catalog, map, and electrophysiologically record individual cells. Application of Cre recombinase technologies allows for cell-specific gene manipulation. Transgenic mice created by this project are available to scientific community.

Proper citation: Gene Expression Nervous System Atlas (RRID:SCR_002721) Copy   

•   Source: SciCrunch Registry

http://hnrim.nih.gov/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database of human nutrition research and research training activities supported by the federal government. Information regarding trends in nutrition research, specific institutions and investigators involved in this research, or areas of agency emphases can be obtained from database searches or from published summary reports. Data for the system is prepared and submitted by participating agencies, and is updated annually. The database contains several thousand projects for each of fiscal years 1985present. Participating agencies include the Department of Health and Human Services, the U.S. Department of Agriculture, the Department of Veteran Affairs, the Agency for International Development, the Department of Defense, Department of Commerce, National Science Foundation, and the National Aeronautics and Space Administration.

Proper citation: Human Nutrition Research Information Management (RRID:SCR_001471) Copy   

•   Source: SciCrunch Registry