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http://www.ariad.com/

Cambridge, Massachusetts-based biotechnology company focused on cancer. Focus areas are blood cancers and solid tumors. Compounds: ponatinib, AP26113, ridaforolimus and AP1903., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ARIAD (RRID:SCR_008559) Copy   

•   Source: SciCrunch Registry

http://www.lexisnexis.com

A commercial software provider designed for legal, risk management, corporate, government, law enforcement, accounting, and academic markets. Sponsors: This resource is Reed Elsevier, Inc. Keywords: Workflow, Professional, Legal, Risk, Management, Corporate, Government, Law, Enforcement, Accounting, Academic, Technology, Information,

Proper citation: LexisNexis (RRID:SCR_008433) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.track-hd.net

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   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://biolit.ucsd.edu/doc/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 16, 2016. The establishment of open access literature makes it possible for knowledge to be extracted from scholarly articles and included in other resources. BioLit aims to extract database identifiers and rich meta-data from open access articles in the life sciences and integrate that information with existing biological databases. We have begun prototyping this effort using a clone of the RCSB Protein Data Bank, a database of macromolecular structures. Cyberinfrastructure is integral to all aspects of conducting experimental research and distributing those results. However, it has yet to make a similar impact on the way we communicate that information. Peer-reviewed publications have long been the currency of scientific research as they are the fundamental unit through which scientists communicate with and evaluate each other. However, in striking contrast to the data, publications have yet to benefit from the opportunities offered by cyberinfrastructure. While the means of distributing publications has vastly improved, publishers have done little else to capitalize on the electronic medium. In particular, semantic information describing the content of these publications is sorely lacking, as is the integration of this information with data in public repositories. This is confounding considering that many basic tools for marking-up and integrating publication content in this manner already exist, such as a centralized literature database, relevant ontologies, and machine-readable document standards. We believe that the research community is ripe for a revolution in scientific communication and that the current generation of scientists will be the one to push it forward. These scientists, generally graduate students and new post-docs and have grown up with cyberinfrastructure as a part of their daily lives, not just a specialized aspect of their profession. They have a natural ability to do science in an electronic environment without the need for printed publications or static documents and, in fact, can feel quite limited by the traditional format of a publication. Perhaps most importantly, they appreciate that the sheer amount of data and the number of publications is prohibitive to the traditional methods of keeping current with the literature. Fink, L., Bourne, P. Reinventing Scholarly Communication for the Electronic Age, CTWatch Quarterly, Volume 3, Number 3, August 2007., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: BioLit (RRID:SCR_008270) 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://grey.colorado.edu/emergent

emergent is a comprehensive, full-featured neural network simulator that allows for the creation and analysis of complex, sophisticated models of the brain in the world. With an emphasis on qualitative analysis and teaching, it also supports the workflow of professional neural network researchers. Its high level drag-and-drop programming interface, built on top of a scripting language that has full introspective access to all aspects of networks and the software itself, allows one to write programs that seamlessly weave together the training of a network and evolution of its environment without ever typing out a line of code. Networks and all of their state variables are visually inspected in 3d, allowing for a quick visual regression of network dynamics and robot behavior. This same 3d world sports a highly accurate Newtonian physics simulation, allowing you to create rich robotics simulations (for example, a car). As a direct descendant of PDP (1986) and PDP (1999), emergent has been in development for decades. In the most recent versions available strive to distill it down to its essential elements. Those that take the time to learn the best practices will be rewarded with the ability to create and understand the most complicated neural models ever published.

Proper citation: Emergent (RRID:SCR_008500) 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://amser.org./index.php?P=AMSER--About

AMSER is a portal of educational resources and services built specifically for use by those in Community and Technical Colleges but free for anyone to use. AMSER provides links to resources for faculty, staff, librarians, students and others for use in both educational settings or in their pursuit of life long learning. Sponsors: AMSER is funded by the National Science Foundation (NSF) as part of the National Science Digital Library, and is being created by a team of project partners led by Internet Scout.

Proper citation: Applied Math and Science Education Repository (RRID:SCR_008501) Copy   

•   Source: SciCrunch Registry

http://griffin.cbrc.jp/

Griffin (G-protein-receptor interacting feature finding instrument) is a high-throughput system to predict GPCR - G-protein coupling selectively with the input of GPCR sequence and ligand molecular weight. This system consists of two parts: 1) HMM section using family specific multiple alignment of GPCRs, 2) SVM section using physico-chemical feature vectors in GPCR sequence. G-protein coupled receptors (GPCR), which is composed of seven transmembrane helices, play a role as interface of signal transduction. The external stimulation for GPCR, induce the coupling with G-protein (Gi/o, Gq/11, Gs, G12/13) followed by different kinds of signal transduction to inner cell. About half of distributed drugs are intending to control this GPCR - G-protein binding system, and therefore this system is important research target for the development of effective drug. For this purpose, it is necessary to monitor, effectively and comprehensively, of the activation of G-protein by identifying ligand combined with GPCR. Since, at present, it is difficult to construct such biochemical experiment system, if the answers for experimental results can be prepared beforehand by using bioinformatics techniques, large progress is brought to G-protein related drug design. Previous works for predicting GPCR-G protein coupling selectivity are using sequence pattern search, statistical models, and HMM representations showed high sensitivity of predictions. However, there are still no works that can predict with both high sensitivity and specificity. In this work we extracted comprehensively the physico-chemical parameters of each part of ligand, GPCR and G-protein, and choose the parameters which have strong correlation with the coupling selectivity of G-protein. These parameters were put as a feature vector, used for GPCR classification based on SVM.

Proper citation: G protein receptor interaction feature finding instrument (RRID:SCR_008343) Copy   

•   Source: SciCrunch Registry

http://www.cff.org/treatments/Pipeline/

The Cystic Fibrosis Foundation has built a dynamic pipeline for the development of more new potential cystic fibrosis (CF) therapies than ever before. To treat a complex disease like CF, therapies must target problems in the airways and the digestive system. In the CF drug development pipeline, there also are promising new therapies designed to rectify the cause of CF a faulty gene and/or its faulty protein product. Cystic fibrosis is an inherited chronic disease that affects the lungs and digestive system of about 30,000 children and adults in the United States (70,000 worldwide). A defective gene and its protein product cause the body to produce unusually thick, sticky mucus that: clogs the lungs and leads to life-threatening lung infections; and obstructs the pancreas and stops natural enzymes from helping the body break down and absorb food. In the 1950s, few children with cystic fibrosis lived to attend elementary school. Today, advances in research and medical treatments have further enhanced and extended life for children and adults with CF. Many people with the disease can now expect to live into their 30s, 40s and beyond.

Proper citation: Drug Development Pipeline (RRID:SCR_008464) Copy   

•   Source: SciCrunch Registry

http://www.xiphophorus.txstate.edu/

Supplier of xiphophorus (platyfish or swordtails) from pedigreed parental lines, representing variety of species. In addition to supplying strains and providing consultation on husbandry and genetic questions, the XGSC produces custom interspecies hybrids (both first generation F1, and backcross hybrid generation BC1) for a variety of projects.

Proper citation: Xiphophorus Genetic Stock Center (RRID:SCR_008340) Copy   

•   Source: SciCrunch Registry

http://www.snprc.org/

Center that supports studies of nonhuman primate models of human diseases, including common chronic diseases and infectious diseases and the effects that genetics and the environment have on physiological processes and disease susceptibility. SNPRC encourages the use of its resources by investigators from the national and international biomedical research communities.

Proper citation: Southwest National Primate Research Center (RRID:SCR_008292) Copy   

•   Source: SciCrunch Registry

https://github.com/deeptools/HiCExplorer

Software tool to analyse Hi-C and capture Hi-C data. Command line suite of tools to process, normalize and visualize Hi-C data.

Proper citation: HiCExplorer (RRID:SCR_022111) Copy   

•   Source: SciCrunch Registry

https://www.mirion.com/products/genie-2000-basic-spectroscopy-software

Software tool as comprehensive environment for data acquisition, display and analysis of gamma and alpha spectrometry data.

Proper citation: Genie 2000 Basic (RRID:SCR_021933) Copy   

•   Source: SciCrunch Registry

https://github.com/Murali-group/SARS-CoV-2-network-analysis

Software tool to predict human proteins that interact with SARS-CoV-2 proteins and trace provenance of predictions.

Proper citation: SARS-CoV-2 network analysis (RRID:SCR_021811) Copy   

•   Source: SciCrunch Registry