Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
Latest publications: ELDERMET research has recently been published in the Proceedings of the National Academy of Sciences (USA). This work focuses on the composition and stability of the intestinal bacteria in older Irish adults. Read the paper here. Would you like to be part of ELDERMET? We are currently looking for people, aged 65 years or older, living in the community. All we ask is that you live in the Cork area, or are willing to travel to Cork, and have recently (within the last two/three weeks) taken any kind of antibiotic. It doesnt matter if you are still taking the antibiotic, as long as the finishing date isnt more than four weeks before your first visit to ELDERMET. ELDERMET Objectives To assess the composition of the faecal microbiota of elderly volunteers in the Irish population, using state-of-the-art molecular techniques. To correlate diversity, composition, and metabolic potential of the faecal microbial metagenome with health, diet and lifestyle indices that are a) likely to be influenced by the microbiota or b) to influence the microbiota. To develop recommendations for specific dietary ingredients, foodstuffs, functional foods and/or dietary supplements, that will improve the health of elderly consumers. To provide evidence-based recommendations for prospective studies to determine the molecular mechanisms for health improvements promoted by specific food ingredients that modulate components of the microbiota. ELDERMET Rationale The human intestinal microbiota is made up of approximately 1000 genetically unique organisms (phylotypes ) [1]. The bacteria present in the intestine make an important contribution to: metabolism executed in the gut [2] health, in diverse activites from pain perception [3] to cognitive function [4]. There is an increasing body of evidence linking alterations in the human gut microbiota with Inflammatory Bowel Disease [5, 6] and Irritable Bowel Syndrome [7]. The changing pattern of the gut microbiota in elderly subjects [8, 9] may be linked to host changes such as immunosenescence, increased susceptibility to disease and potentially systemic effects. The composition of the intestinal microbiota may be modulated by dietary components including prebiotics [10]. ELDERMET will determine the baseline composition of the gut microbiota of several hundred elderly Irish subjects using a combination of traditional culutre and molecular (culture-independent) methodologies. ELDERMET will explore potential correlations between microbiota composition and a range of health indices; cross-referencing data to dietary intake. Data will be analyzed in the context of the related FHRI projects in Nutrigenomics, Food Consumption, Food Safety, and Diet-Health. ELDERMET will provide recommendations to all stakeholders (including health practitioners and the health service, the food industry and the general public) on how to improve health based on defined modifications to dietary intake. Sponsor. This work is supported by the Goverment of Ireland Department of Agriculture Fisheries and Food/Health Research Board Food for Health Research Initiative award to the ELDERMET project as well as by a Science Foundation Ireland award to the Alimentary Pharmabiotic Centre. M.J.C. is now funded by a fellowship from the Health Research Board of Ireland.
Proper citation: ELDERMET Gut microbiota as an indicator and agent of nutritional health in elderly Irish subjects (RRID:SCR_008492) Copy
OMPC aims to enable reuse of the huge open and free code base of MATLAB on a free and faster growing Python platform. Running Python and MATLAB in a single interpreter avoids issues with running two separate applications. Python adds general purpose programming libraries to the convenient syntax of the language of technical computing. OMPC is not an interpreter, it lets Python to do the work. This means that if Python gets faster OMPC gets faster too. OMPC translates the m-files preserving the structure of the original programs as much as possible. Although OMPC comes with a library that emulates the features of numerical array of MATLAB there is nothing that will stop you from running the translated code the way you like it. This means that you could run the OMPC generated code on IronPython, Jython, PyPy or whatever else if you write your own numerical class. Sponsors: This resource is supported by RIKEN Brain Science Institute.
Proper citation: An Open-Source MATLAB-to-Python Compiler (RRID:SCR_008409) Copy
The project began as a pilot study to identify inherited genetic susceptibility to prostate and breast cancer. CGEMS has developed into a robust research program involving genome-wide association studies (GWASs) for a number of cancers to identify common genetic variants that affect a person''s risk of developing cancer. In collaboration with extramural scientists, NCI''s Division of Cancer Epidemiology and Genetics (DCEG) has carried out genome-wide scans for breast, prostate, pancreatic, and lung cancers, while a GWAS of bladder cancer is currently underway. By making the data available to both intramural and extramural research scientists, as well as those in the private sector through rapid posting, NIH can leverage its resources to ensure that the dramatic advances in genomics are incorporated into rigorous population-based studies. Ultimately, findings from these studies may yield new preventive, diagnostic, and therapeutic interventions for cancer. Sponsors: This resource is supported by the U.S. National Institues Of Health.
Proper citation: CGEMS (RRID:SCR_008445) Copy
Wheaton Industries Inc. is a leading marketer, manufacturer and re-packager of containers, laboratory ware, instrumentation and associated products and services sold principally to customers in the general laboratory, life sciences, and diagnostics and reagent / chemicals packaging markets. Our products and services are marketed and sold globally through two divisions. The laboratory research products are sold through Wheaton Science Products, and the packaging products are sold through Wheaton Science Packaging.
Proper citation: Wheaton Industry Inc (RRID:SCR_008565) Copy
This site is designed for researchers and students who want a quick way to generate random numbers or assign participants to experimental conditions. Research Randomizer can be used in a wide variety of situations, including psychology experiments, medical trials, and survey research. The program uses a JavaScript random number generator to produce customized sets of random numbers. Since its release in 1997, Research Randomizer has been used to generate number sets over 10.7 million times. This service is part of Social Psychology Network and is fast, free, and runs with any recent web browser as long as JavaScript isn''t disabled. Research Randomizer is a free service offered to students and researchers interested in conducting random assignment and random sampling. By using this service, you agree to abide by the SPN User Policy and to hold Research Randomizer and its staff harmless in the event that you experience a problem with the program or its results. Although every effort has been made to develop a useful means of generating random numbers, Research Randomizer and its staff do not guarantee the quality or randomness of numbers generated. Any use to which these numbers are put remains the sole responsibility of the user who generated them. What are the system requirements needed to run Research Randomizer? This program works best with Firefox and other recent web browsers. If you''re using a browser that came with America Online, or older browsers made prior to 2003, you may experience some difficulties with Research Randomizer. You may also not be able to use Research Randomizer with some limited-function browsers that do not fully support JavaScript, such as the Opera broswer used on certain game consoles. We would suggest that you update to a fairly recent, fully- functional stand-alone browser. How do I know what browser I am using? The easiest way to find this out is to click Help on the pulldown menu at the top of the screen. One of the options should be About Mozilla Firefox, About Internet Explorer, About Netscape, or something similar. Selecting this option will open a window that displays the name, version number, and copyright date of your browser. How does Research Randomizer generate its numbers? Research Randomizer uses the Math.random method within the JavaScript programming language to generate its random numbers for all modern web browsers. If you are using an older version of Microsoft Internet Explorer or Netscape Navigator (that is prior to version 4.0 of either), Research Randomizer uses an adaptation of the Central Randomizer by Paul Houle. Note that Research Randomizer no longer supports much-older browsers by other vendors (e.g., Mosaic). Who designed Research Randomizer? The original idea and programming for Research Randomizer came from Geoffrey C. Urbaniak in 1997. Research Randomizer was then jointly developed with Scott Plous, webmaster of Social Psychology Network, and online tutorials were added to the main program. In 1999 the site was redesigned with the assistance of Mike Lestik, in 2003 Mike Lestik added the download function, and in 2007 Mike Lestik and Scott Plous redesigned the site and added new content.
Proper citation: Research Randomizer (RRID:SCR_008563) Copy
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
About the LAGAN Toolkit The LAGAN Tookit consists of four components: CHAOS CHAOS is a pairwise local aligner optimized for non-coding, and other poorly conserved regions of the genome. It uses both exact matching and degenerate seeds, and is able to find homology in the presence of gaps. LAGAN LAGAN is our highly parametrizable pairwise global alignment program. It takes local alignments generated by CHAOS as anchors, and limits the search area of the Needleman-Wunsch algorithm around these anchors; Multi-LAGAN Multi-LAGAN is a generalization of the pairwise algorithm to multiple sequence alignment. M-LAGAN performs progressive pairwise alignments, guided by a user-specified phylogenetic tree. Alignments are aligned to other alignments using the sum-of-pairs metric. Shuffle-LAGAN Shuffle-LAGAN is a novel glocal alignment algorithm that is able to find rearrangements (inversions, transpositions and some duplications) in a global alignment framework. It uses CHAOS local alignments to build a map of the rearrangements between the sequences, and LAGAN to align the regions of conserved synteny. The website uses scripts written by Alex Poliakov. The website was designed by Marina Sirota.
Proper citation: LAGAN (RRID:SCR_008558) Copy
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
THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 31, 2022. The UCSD CFAR/VMRF Molecular Biology Core (MBC) is a service core designed to facilitate and support HIV/AIDS research at the University of California San Diego (UCSD), the VA San Diego Healthcare System (VASDHCS), the Veterans Medical Research Foundation (VMRF), the UCSD Antiviral Research Center (AVRC), the Scripps Research Institute, and others in the San Diego HIV/AIDS research community. The MBC provides a variety of services, including DNA sequencing, viral DNA and RNA quantification, cDNA microarray analysis of herpesvirus expression, lentiviral vectors, RNAi design and synthesis, custom vector and plasmid design and construction, plasmids and other reagents of interest to HIV/AIDS research, shared access to computational biology software, and a variety of other services. The core is operated in association with the VMRF, the UCSD AIDS Research Institute (ARI), the VASDHCS, and the VA Research Center for AIDS and HIV Infection (RACHI). The VMRF/CFAR MBC is open to all UCSD, VA, and VMRF investigators as well as those from outside institutions. Keywords: Biology, Research, Medical, Molecular, DNA, Sequencing, Healthcare, RNA, DNA, cDNA, Microarray, Analysis, Herpesvirus, Expression, Lentiviral,
Proper citation: UCSD Center for AIDS Research Molecular Biology Core (RRID:SCR_008435) Copy
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
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
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
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
http://www.neuroscience.cam.ac.uk/
This portal provides information about the neuroscience department at the University of Cambridge. Cambridge has a strong tradition in neuroscience having been host to the first analyses of neural signaling in the 1930s, determined the mechanisms of neuronal firing in the 1950s, and heralded some of the early theoretical approaches to the functions of neural circuitry in the 1960s. Neuroscience continues to grow at Cambridge, with an impressive record of achievement in multidisciplinary research.
Proper citation: Cambridge Neuroscience Department (RRID:SCR_008649) Copy
http://www.neurosciencenetwork.com/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. An initiative to build connections among the many powerful resources across the region. Between colleges and universities, pharmaceutical and biotechnology companies, device developers, startups and service businesses, the Cure Corridor, Einsteins''s Alley, the Pharm Belt, or whatever you like to call the region, offers opportunities for discovery and development of new therapies that is unmatched. Sponsors: The NeuroScience Network is made possible, in part, through funding from Bio 1 WIRED.
Proper citation: The NeuroScience Network (RRID:SCR_008648) Copy
http://www.transgenic-hydra.org/
The Transgenic Hydra Facility is a non-profit facility in the laboratory of Thomas Bosch at the University of Kiel that assists scientists to use and to develop transgenic Hydra polyps. Our mission is to provide investigators access to the latest technology for the efficient production of transgenic polyps. We particularly encourage scientists from laboratories lacking the infrastructure for transgenic Hydra technologies to use our services. Abstract: Understanding the evolution of development in large part relies on the study of phylogenetically old organisms. Cnidarians, such as Hydra, have become attractive model organisms for these studies. However, despite long-term efforts, stably transgenic animals could not be generated, severely limiting the functional analysis of genes. Here we report the efficient generation of transgenic Hydra lines by embryo microinjection. One of these transgenic lines expressing EGFP revealed remarkably high motility of individual endodermal epithelial cells during morphogenesis. We expect that transgenic Hydra will become important tools to dissect the molecular mechanisms of development at the base of the Metazoan tree. Sponsors: Financial support for this research was provided by the German Research Foundation [Deutsche Forschungsgemeinschaft Grants B0848/13 and SFB617.
Proper citation: Transgenic Hydra Facility (RRID:SCR_008641) Copy
http://www.aquatichabitats.com
Aquatic Habitats (AHAB) is the worlds largest manufacturer of housing systems for aquatic research animals. We are biologists first and engineers second, so we understand the complexity of aquatic life and how to sustain it. Our turnkey systems are secure, efficient and as fail-safe as possible.
Proper citation: Aquatic Habitats (RRID:SCR_008597) Copy
http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:DelPhi
DelPhi provides numerical solutions to the Poisson-Boltzmann equation (both linear and nonlinear form) for molecules of arbitrary shape and charge distribution. The current version is fast, accurate, and can handle extremely high lattice dimensions. It also includes flexible features for assigning different dielectric constants to different regions of space and treating systems containing mixed salt solutions. DelPhi takes as input a coordinate file format of a molecule or equivalent data for geometrical objects and/or charge distributions and calculates the electrostatic potential in and around the system, using a finite difference solution to the Poisson-Boltzmann equation. DelPhi is a versatile electrostatics simulation program that can be used to investigate electrostatic fields in a variety of molecular systems. Features of DelPhi include solutions to mixtures of salts of different valence; solutions to different dielectric constants to different regions of space; and estimation of the best relaxation parameter at run time.
Proper citation: DelPhi (RRID:SCR_008669) Copy
http://www.bic.mni.mcgill.ca/users/crisco/jiv/
JIV is a Java software for visualization and side-by-side comparison of multiple 3D image datasets. While it was originally designed for remote data access, it can be used as a traditional local application as well. It features include being highly portable and platform-independent, the ability to run with a common Web browser and to cope with slow network links, an independent 3D image data format, and a display of gray-level (intensity) image data with a user-controlled color-mapping, among other features.
Proper citation: JIV: A 3D Image Data Visualization and Comparison Tool (RRID:SCR_008657) Copy
http://portal.ncibi.org/gateway/bcde.html
Biological Concept Diagram Editor (BCDE) is a conceptual relationship diagramming tool specifically designed for biomedical researchers. It allows for efficient knowledge and data capture, fast diagram creation, easy data retrieval, and flexible exporting. The BCDE application is the main diagramming tool in the system. Through it, users can create, modify, load, and save BCDE diagrams. The diagrams created with BCDE application are network oriented. Each BCDE figure can be annotated using fields from the BioPAX level II format. In addition, a user can add URL links and attachments to a BCDE figure. Diagrams generated in BCDE are stored in the BCDE XML format for better database integration and better data extraction.
Proper citation: Biological Concept Diagram Editor (RRID:SCR_008654) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.