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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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.fa-petition.org/en/attivita/progetti2008.html

The aim of this resource is to facilitate and promote, even through fund-raising, the scientific research for the treatment of Friederich''s Ataxia. The mission of this portal is to: - To distribute information to the people affected by the disease and to make the general population aware. - Promote, fund and support the diagnosis, research, cure and potential treatments. - Promote the cooperation with other voluntary associations both national and international. Sponsors: This resource is supported by the RUDI Committee. Keywords: Research, Diagnosis, Cure, Treatment, Disease, Scientific, Friederich''s Ataxia,

Proper citation: ATASSIA DI FRIEDREICH - PROGETTI 2006 (RRID:SCR_008391) Copy   

•   Source: SciCrunch Registry

http://cprc.rcm.upr.edu/

Center for the study of non-human primates. Its mission is the study and use of non-human primates as models for studies of social and biological interactions and for the discovery of methods of prevention, diagnosis and treatment of diseases that afflict humans. Through the stewardship of three unique facilities—Cayo Santiago Field Station, Sabana Seca Field Station, and the Laboratory of Primate Morphology supports a diverse range of research programs that enhance understanding of primate biology and behavior, with direct applications in biomedical and translational research.

Proper citation: Caribbean Primate Research Center (RRID:SCR_008345) Copy   

•   Source: SciCrunch Registry

http://www.unil.ch/dafl

The Lausanne Genomics Technologies Facility (GTF) is a genomic technologies core laboratory serving the Lausanne and Lemanic region research community. It is housed in and administered by the Center for Integrative Genomics. The GTF offers a range of microarrays services, including : providing access to the instrumentation and the consumables that are required for the use of the pre-printed oligonucleotide microarrays available from Affymetrix and Illumina as well as miRNA gene microarrays from Agilent Technologies providing access to and supporting applications using the Illumina Genome Analyzer 2 ultra high throughput DNA sequencing platform providing access to the instrumentation and the consumables that are required for performing quantitative real-time PCR analyses using the Applied Biosystems 7900HT Sequence Detection System. providing bioinformatics support and consultation services at the stages of experimental design, data collection and storage, image analysis and data analysis acting as a center of experience, expertise and training in microarray and quantitative PCR technologies and methodologies. Laboratory space and computer workstations are available to users wanting to perform the experiments and/or analyses in the facility. The GTF also acts as an information clearing house for the user community by providing a forum for the sharing of methods, protocols and experience generated by the GTF and community scientists using microarray and quantitative PCR technology investigating and implementing, when appropriate, microarray-based methods for applications other than gene expression monitoring (e.g. SNP detection) participating in the evaluation of new RNA expression profiling and nucleic hybridization detection technologies as they develop and incorporate the appropriate technologies into the services offered by the facility

Proper citation: Lausanne Genomic Technologies Facility (RRID:SCR_008468) Copy   

•   Source: SciCrunch Registry

http://edge.oncology.wisc.edu/edge.php

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. EDGE is a scientific resource for toxicology-related gene expression information. The site contains databases and analyses of gene expression studies following exposure to a variety of chemicals or physiological changes. The ultimate goal of the EDGE is to map transcriptional changes from chemical exposure that will someday be used as a diagnostic fingerprint to predict toxicity as well as provide valuable insights into the basic molecular changes responsible. EDGE gives you the ability to easily answer the following fundamental questions about your data 1. Can I compare transcriptional profiles across treatments? 2. What genes respond to my treatment? 3. What influences my favorite gene(s)? One of the major objectives of toxicology is to understand the adverse health effects that result from exposure to foreign chemicals. The traditional method for assessing the toxicity of a test chemical is very resource intensive; requiring the commitment of large amounts of money, time, and animals. According to the National Toxicology Program (NTP), each chemical study requires between 2 and 4 million dollars and several years to complete. Due to the cost and labor intensive nature of these studies, the number of chemicals currently tested by the NTP stands at less than 500. Given these statistics and the fact that there are approximately 70,000 chemicals in commerce today, it is increasingly apparent that alternative methods for assessing toxic potential must be explored if a significant portion of the remaining chemicals is to be tested. One potential solution is to develop a comprehensive database that describes alterations in gene expression resulting from chemical exposure. The pattern of transcriptional activity will not only be highly sensitive indicator of chemical exposure, but that this pattern will be diagnostic for mechanistically linked toxicants. In our laboratory, we have chosen to address this problem through a combination of high throughput sequencing of expressed sequence tags (ESTs) and construction of custom toxicology-related cDNA microarrays derived from the unique ESTs identified in the sequencing effort. By using this approach, we can simultaneously develop a quantitative gene expression profile using ESTs and the reagents for further analyzing these changes in a rapid, highly parallel manner. In addition, the expression profiles are not biased for preselected favorite genes. The resulting gene expression pattern can then be used as diagnostic fingerprint to predict toxicity and/or carcinogenicity as well as provide valuable insight into the basic biochemical and molecular changes responsible for toxicity. Submission of total RNA for Bradfield Lab Microarray Microarray comparisons are made between untreated, control animals and animals treated with ONE treatment. Please make sure the RNA submitted adheres to this experimental design. Necessary information is available on the site.

Proper citation: EDGE: Environment, Drugs and Gene Expression (RRID:SCR_008187) Copy   

•   Source: SciCrunch Registry

http://sig.biostr.washington.edu/projects/fm/FME/index.html

The Foundational Model Explorer (FME) is an internet based software application developed for viewing the content and organization of the Foundational Model of Anatomy Ontology (FMA). The initial purpose of the FME was to provide a simple and intuitive interface to the FMA for domain experts, in the field of anatomy, participating in the evaluation of the FMA. The FME also provides an easily available method of exploring the FMA to individuals or groups considering the adoption of the Foundational Model of Anatomy knowledge base. The FME display consists of two panes: a hierarchical tree may be opened up in the pane on the left side; if a class is selected in the hierarchical tree, the pane on the right side displays the information that has been entered in the FMA for that class. The information associated with a given class is organized in so-called slots. Each slot has a name (e.g., Definition, Parts) and some content, which is that particular slots value (e.g., the English definition and the names of parts of the selected class, respectively). For an explanation of the interactive features of the FME, see the Knowledge Navigation Section. For a guided tutorial check out the Conducted Tour. In the left pane, the default tree is a subclass hierarchy, based on the -is a- or -kind of- relationship; it is the instantiation of the Anatomy taxonomy (At) component in the high level scheme of the Foundational Model of Anatomy. Apart from the slots Preferred Name and Synonyms, other slots relate to the Anatomical Structural Abstraction (ASA) component in the FMAs high level scheme. Hierarchies based on various part-whole relationships can also be opened up in the left pane. Once a class has been highlighted in the subclass hierarchy, you can choose a relationship from a drop down list labeled Select navigation tree type. Some other transitive relationships (e.g., -branch of- and -tributary of-) are also available. The Search facility matches a search term to the preferred name, as well as to the Latin name, or synonym of an FMA class (if such exist). The tree is expanded to reveal the matching class and the information about this class is displayed. The wildcard * is allowed in the search term and will match to any sequence of characters. For example the search term h*d matches the class names Head and Hepatic cord (amongst others). The search function is not case sensitive. If more than one class name matches with the search term, a list of matching terms is presented for the user to choose between.

Proper citation: Foundational Model Explorer (RRID:SCR_008189) Copy   

•   Source: SciCrunch Registry

http://sklad.cumc.columbia.edu/gsas/

The Columbia University Medical Center is home to over 2,000 basic and clinical faculty and 3,000 students. In addition to the graduate school, this intellectual powerhouse incorporates schools of medicine, dentistry, nursing and public health. The campus also includes the New York Presbyterian Hospital, ranked within the top 10 in the nation. Columbia''s diverse academic resources, as well as its proximity to other scientific institutions offers endless opportunities to attend data clubs, lectures and symposia as well as to pursue research collaborations or learn new techniques. We offer a range of nationally top-ranked Ph.D. Programs grouped in five divisions. Regardless of program affiliation, students have access to all training faculty when selecting their research direction, ensuring that each student receives optimal training and research experience.

Proper citation: Graduate School of Arts and Sciences at Columbia University Medical Center (RRID:SCR_011258) Copy   

•   Source: SciCrunch Registry

http://opal.biology.gatech.edu/GeneMark/

A family of gene prediction programs developed at Georgia Institute of Technology.

Proper citation: GeneMark (RRID:SCR_011930) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/purdue-university

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 24,2024. Portal, Core facility

Proper citation: Purdue University Labs and Facilities (RRID:SCR_012231) Copy   

•   Source: SciCrunch Registry

http://fgcz-bfabric.uzh.ch/bfabric/

An open infrastructure for managing projects and data in life sciences that allows to store and access experimental data together with its scientific context. The platform connects the data from scientific instruments with data analysis tools, including workflow, annotation, and data visualization support. All public data can be searched and used to carry out inter-experiment analyses. For a fee, B-Fabric Order allows you to order the following analytical services at the FGCZ independent of a User Lab research project: Mass spectrometry, Protein sequencing, peptide sequencing, Amino acid analysis, Chromatography, Electrophoresis.

Proper citation: B-Fabric (RRID:SCR_011827) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/oyagen-inc

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 6,2022. OYAGEN is a biotechnology company formed on September 5, 2003, for the purpose of discovering, developing, and commercializing novel pharmaceutical therapies that seek to exploit RNA editing and DNA editing enzymes. OyaGen holds exclusive rights to important technologies originating from the University of Rochester Medical Center (URMC), the Thomas Jefferson University (TJU), and Oregon Health Science Center.

Proper citation: OyaGen (RRID:SCR_012236) Copy   

•   Source: SciCrunch Registry

http://www-new.onu.edu/academics/pharmacy

Founded 1884, the Ohio Northern University''s College of Pharmacy has had the privilege to graduate over 7,000 pharmacists during its 125-year history. The R. H. Raabe College of Pharmacy is distinctive among other colleges of pharmacy as it integrates a comprehensive foundation in the pharmaceutical sciences and the practice of pharmacy along with a strong liberal arts curriculum. Our graduates are particularly active in local, state, and national health-related organizations. The College is committed to assuring that all students receive the finest education possible. Our faculty members are dedicated scholars with a desire to assist student learning. Our outstanding clinical facilities and preceptors illustrate the application of knowledge to actual therapeutic decisions. The Doctor of Pharmacy program is designed to provide the student with the preparation and background for a successful career in a vital health profession.

Proper citation: Ohio Northern University College of Pharmacy (RRID:SCR_011428) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/medros-inc

An Core facility

Proper citation: Medros (RRID:SCR_012400) Copy   

•   Source: SciCrunch Registry

http://cbcb.umd.edu/software/metAMOS

A modular and open source metagenomic assembly and analysis pipeline.

Proper citation: MetAMOS (RRID:SCR_011914) Copy   

•   Source: SciCrunch Registry

http://antibodies.cancer.gov/apps/site/default

Serves as a gateway that provides visible access to a large number of reagents and accompanying characterization data to the research and industrial community.

Proper citation: Antibody Portal (RRID:SCR_011995) Copy   

•   Source: SciCrunch Registry

http://compbio.med.harvard.edu/antibodies/

The aim of this site is to collect and to share experimental results on antibodies that would otherwise remain in laboratories, thus aiding researchers in selection and validation of antibodies.

Proper citation: Antibody Validation Database (RRID:SCR_011996) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/boston-university

An Portal, Core facility

Proper citation: Boston University Labs and Facilities (RRID:SCR_012335) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/university-of-virginia

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. Portal, Core facility

Proper citation: University of Virginia Labs and Facilities (RRID:SCR_012339) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/university-of-connecticut--2

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 16,2024. Portal, Core facility

Proper citation: University of Connecticut Labs and Facilities (RRID:SCR_012220) Copy   

•   Source: SciCrunch Registry