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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
http://purl.bioontology.org/ontology/LOINC
Ontology of logical observation identifier names and codes (LOINC); Version 2.26; January 2, 2009
Proper citation: Logical Observation Identifier Names and Codes (RRID:SCR_010341) Copy
https://genomecenter.ucdavis.edu/core-facilities/
Genome Center uses technologies to understand how heritable genetic information of diverse organisms functions in health and disease. Provides research facilities, service cores, and staff for genomics research and training. Core facilities for Bioinformatics,DNA Technologies and Expression Analysis, Metabolomics, Proteomics,TILLING Core,Yeast One Hybrid Services Core.
Proper citation: UC Davis Genome Center Labs and Facilities (RRID:SCR_012480) Copy
BioLayout Express3D is a powerful new tool for the visualization and analysis of networks derived from biological systems. Network-based approaches are becoming increasing popular for the analysis of ''omics and other high dimensional data. Networks can be produced from a wide variety of biological relationships, such as interactions between individuals, disease transmission, sequence similarity, metabolic pathways, protein interactions, pathways, regulatory cascades, gene expression, etc. BioLayout Express3D has been specifically designed for visualization, clustering and analysis of large network graphs in two- and three-dimensional space derived primarily, but not exclusively, from biological data. Sponsors: This resource is supported by BBSRC (BB / F003722 / 1) and the Wellcome Trust (GR077040RP). Keywords: Biology, Tool, Software, visualization, Analysis, Network, Biological, System, Dimentional, Data, Disease, Transmission, Sequence, Metabolic, Pathway, Protein, Interaction, Gene, Expression, Clustering, Analysis,
Proper citation: BioLayout Express 3D (RRID:SCR_007179) Copy
Chem Service, Inc. offers the convenience, cost savings and reliability of 1,000 Certified Standards Grade Organic Chemicals at your fingertips with our Organic Mini Stockroom Kit. Whether your lab is big or small, disposal fees are a concern. The Organic Mini-stockroom offers you the ability to have 1000 different chemicals at quantities ranging from 100mg to 10gm; thus, reducing disposal costs. Over 95% of their neat Standards Grade materials have a purity of 98.0% or greater, and have been analyzed by three or more (where feasible) independent methods of analysis. These do not require purity corrections when preparing a solution for use with EPA methods. Their more than 13,000 organic and inorganic standards, and solutions, support EPA Methods, ASTM Methods, State UST Methods, Air monitoring Methods, and International Methods. They offer explosive residue standards, PCB congeners, petroleum hydrocarbon standards for the petrochemical industry, pesticide standards, FAME, and vitamin standards for food analysis. Suited for identification of unknowns, product screening, optimal chemical selection and small scale chemical reactions, the O-1000A Organic Ministockroom Kit was designed for laboratories with broad chemical classification and indentification needs. Chem Service, Inc. is registered by ABS Quality Evaluations, Inc., to the internationally recognized requirements of ISO 9001 for design, development, production, distribution and servicing of organic neat and synthetic reference materials.
Proper citation: Chem Service, Inc. (RRID:SCR_008380) Copy
http://harvester.fzk.de/harvester/
Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013.
Proper citation: Bioinformatic Harvester IV (beta) at Karlsruhe Institute of Technology (RRID:SCR_008017) Copy
http://www.nimh.nih.gov/funding/clinical-trials-for-researchers/practical/step-bd/index.shtml
A long-term outpatient study designed to find out which treatments, or combinations of treatments, are most effective for treating episodes of depression and mania and for preventing recurrent episodes in people with bipolar disorder. This study has been completed. (2005) STEP-BD is evaluating all the best-practice treatment options used for bipolar disorder: mood-stabilizing medications, antidepressants, atypical antipsychotics, and psychosocial interventions - or talk therapies - including Cognitive Behavioral Therapy, Family-focused Therapy, Interpersonal and Social Rhythm Therapy, and Collaborative Care (psychoeducation). There are two kinds of treatment pathways in STEP-BD, and participants may have the opportunity to take part in both. The medications and psychosocial interventions provided in these pathways are considered among the best choices of treatment for bipolar disorder in everyday clinical practice. In the Best Practice Pathway, participants are followed by a STEP-BD certified doctor and all treatment choices are individualized. Everyone enrolled in STEP-BD may participate in this pathway. Participants and their doctors work together to decide on the best treatment plans and to change these plans if needed. Also, anyone who wishes to stay on his or her current treatment upon entering STEP-BD may do so in this pathway. Adolescents and adults age 15 years and older may participate in the Best Practice Pathway. For adults age 18 and older, another way to participate is in the STEP-BD Randomized Care Pathways. Depending on their symptoms, participants may be offered treatment in one or more of these pathways during the course of the study. The participants remain on mood-stabilizing medication. However, because doctors are uncertain which of several treatment strategies work best for bipolar disorder, another medication and/or talk therapy may be added. Each Randomized Care Pathway involves a different set of these additional treatments. Unlike in the Best Practice Pathway, the participants in the Randomized Care Pathways are randomly assigned to treatments. Also, in some cases, neither the participant nor the doctor will be told which of the different medications is being added. This is called a double-blind study and is done so that the medication effects can be evaluated objectively, without any unintended bias that may come from knowing what has been assigned. Participants will not be assigned medications that they have had bad reactions to in the past, that they are strongly opposed to, or that the doctor feels are unsuitable for them. The medication(s) participants may be randomly assigned to in the Randomized Care Pathways are free of charge. There are other treatment options for participants if they do not respond well to the treatment assigned to them. Also, participants may return to the Best Practice Pathway at any time. About 1,500 individuals will be enrolled in at least one Randomized Care Pathway during their period of participation in STEP-BD. It is important to note that STEP-BD provides continuity of care. For example, if a participant starts out in the Best Practice Pathway and later chooses to enter one of the Randomized Care Pathways, he or she continues with the same STEP-BD doctor and treatment team. Then, after completing the Randomized Care Pathway, the participant may return to the Best Practice Pathway for ongoing, individually-tailored treatment. Follow the link to view study info at Clinicaltrials.gov, http://www.clinicaltrials.gov/ct/show/NCT00012558?order=1
Proper citation: Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) (RRID:SCR_008844) Copy
http://www.clcbio.com/products/clc-genomics-workbench/
Commercially available software for visualization and analysis of next generation sequencing data. Used for viewing, exploring, and sharing of NGS analysis results. Complete toolkit for genomics, transcriptomics, epigenomics, and metagenomics in one program.
Proper citation: CLC Genomics Workbench (RRID:SCR_011853) Copy
http://www.scienceexchange.com/facilities/caresbio-laboratory
CaresBio Laboratory (CBL) is a contract research organization, serving as a translational link with the one stop service approach to close the gaps between basic and clinical sciences for biomedical science community. We are serving academic laboratories, CROs, biotechnology and pharmaceutical companies and research organizations by providing high quality and cost effective pre-clinical and clinical research services. If you are doing biomarker and or drug discovery and development; therapeutics and translational research along with the applications of genomics and proteomics study; data validation and analysis; histopathology, immunohistochemistry, pathology or other immunostaining, imaging; histomorphometry, image analysis; small animal imaging; screening, efficacy and toxicity testing of your candidate compounds. We also provide biostatistics analysis of pre-clinical and or clinical data, data base developments or any subcategories of these fields. We do assay developments and provide customized assays to match your needs.
Proper citation: CaresBio Laboratory (RRID:SCR_012393) Copy
With remarkable advances in genomic technologies, the National Cancer Institute established the Core Genotyping Facility (CGF) to investigate the contribution of germline genetic variation to cancer susceptibility and outcomes. Working in concert with epidemiologists, biostatisticians and basic research scientists in the intramural research program, the CGF has developed the capacity to conduct genome-wide association studies and candidate gene approaches to identify the heritable determinants of various forms of cancer. In order to ensure the accuracy and timely completion of all CGF provided operations, the following Information Systems were developed. While the investigator does not have direct access to these systems, their availability to CGF staff members greatly aids in their querying and reporting capabilities. In turn this provides benefit to the investigator by providing the most up to date reporting possible. The Core Genotyping Facility (CGF) offers a wide variety of sample preparation and genotyping operations. All samples received must meet minimum requirements and are taken through the Sample Handling pipeline prior to completing any genotyping. The Sample Handling pipeline includes DNA quantification and genetic fingerprinting. Also offered are Whole Genome Amplification (WGA) assays, to get the most yield out of low quantity DNA samples. Theirr genotyping products cover a wide-range of assay sizes. The CGF operates the Illumina BeadLab system which supports Illumina assay technologies including the whole genome genotyping Infinium assays, custom GoldenGate OPA assays, and Custom Infinium (iSelect) assays. In addition, the CGF offers Affymetrix GeneChip arrays and uniplex TaqMan genotyping. Sponsors: CGF is supported by the SAIC-Frederick. :Keywords: Genomic, Technology, Cancer, Genotyping, Germline, Genetic, Epidemiologist, Biostatistician, Research, Gene, Assay, Genotype, Pipeline, Genome, DNA, :
Proper citation: Core Genotyping Facility (RRID:SCR_008438) Copy
Collection of dissemination and exchange recorded biomedical signals and open-source software for analyzing them. Provides facilities for cooperative analysis of data and evaluation of proposed new algorithm. Providies free electronic access to PhysioBank data and PhysioToolkit software. Offers service and training via on-line tutorials to assist users at entry and more advanced levels. In cooperation with annual Computing in Cardiology conference, PhysioNet hosts series of challenges, in which researchers and students address unsolved problems of clinical or basic scientific interest using data and software provided by PhysioNet. All data included in PhysioBank, and all software included in PhysioToolkit, are carefully reviewed. Researchers are further invited to contribute data and software for review and possible inclusion in PhysioBank and PhysioToolkit. Please review guidelines before submitting material.
Proper citation: PhysioNet (RRID:SCR_007345) Copy
http://www.daimi.au.dk/%7Emailund/SNPFile/
Software library and API for manipulating large SNP datasets with associated meta-data, such as marker names, marker locations, individuals'' phenotypes, etc. in an I/O efficient binary file format. In its core, SNPFile assumes very little about the metadata associated with markers and individuals, but leaves this up to application program protocols. (entry from Genetic Analysis Software)
Proper citation: SNPFILE (RRID:SCR_009402) Copy
http://www.radnet.ucla.edu/sections/DINR/index.htm
Annotated images of human brain derived from CT, MRI, angiography and post-mortem sections and drawings. Brain vasculature: arteries, arterioles, veins. Pathological specimens. Quizzes and general information on brain structures and clinical syndromes. Extensive collection of images, many from pathological conditions.
Proper citation: Salamons Neuroanatomy and Neurovasculature Web-Atlas Resource (RRID:SCR_007343) Copy
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
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
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
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
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
Modular program for SPM (scanning probe microscopy) data visualization and analysis. Primarily it is intended for the analysis of height fields obtained by scanning probe microscopy techniques (AFM, MFM, STM, SNOM/NSOM) and it supports a lot of SPM data formats. However, it can be used for general height field and (greyscale) image processing, for instance for the analysis of profilometry data or thickness maps from imaging spectrophotometry.
Proper citation: Gwyddion (RRID:SCR_015583) Copy
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
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