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http://athina.biol.uoa.gr/CAST/

A novel algorithm for low-complexity region detection and selective masking. The algorithm is based on multiple-pass Smith-Waterman comparison of the query sequence against twenty homopolymers with infinite gap penalties. The output of the algorithm is both the masked query sequence for further analysis, e.g. database searches, as well as the regions of low complexity.

Proper citation: CAST (RRID:SCR_000628) Copy   

•   Source: SciCrunch Registry

https://team.inria.fr/empenn/research/

Research team focused on research and development of new algorithms in medical imaging, information processing and computer assisted intervention in the context of the pathologies of the central nervous system. Research team jointly affiliated to INSERM (National Institute of Health and Scientific Research), Inria (National Institute of Research in Computer Sciences and Automation) and IRISA / UMR CNRS 6074, University of Rennes I. Multidisciplinary team merging researchers in image processing and medical doctors.

Proper citation: VISAGES Research (RRID:SCR_000749) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/PATHLEX

A comprehensive lexicon - a unified language of anatomic pathology terms - for standardized indexing and retrieval of anatomic pathology information resources.

Proper citation: Anatomic Pathology Lexicon (RRID:SCR_000907) Copy   

•   Source: SciCrunch Registry

http://www.atgc-montpellier.fr/mpscan/

Web tool for index free mapping of multiple short reads on a genome.

Proper citation: MPscan (RRID:SCR_000587) Copy   

•   Source: SciCrunch Registry

http://fcp-indi.github.io

A configurable, open-source, Nipype-based, automated processing pipeline for resting state functional MRI (R-fMRI) data, for use by both novice and expert users. C-PAC was designed to bring the power, flexibility and elegance of the Nipype platform to users in a plug and play fashion?without requiring the ability to program. Using an easy to read, text-editable configuration file, C-PAC can rapidly orchestrate automated R-fMRI processing procedures, including: - quality assurance measurements - image preprocessing based upon user specified preferences - generation of functional connectivity maps (e.g., correlation analyses) - customizable extraction of time-series data - generation of local R-fMRI metrics (e.g., regional homogeneity, voxel-matched homotopic connectivity, fALFF/ALFF) C-PAC makes it possible to use a single configuration file to launch a factorial number of pipelines differing with respect to specific processing steps.

Proper citation: C-PAC (RRID:SCR_000862) Copy   

•   Source: SciCrunch Registry

http://genboree.org

A software application and database viewing system for genomic research, more specifically formulti-genome comparison and pattern discovery via genome self-comparison. Data are available for a range of species including Human Chr3, Human Chr12, Sea Urchin, Tribolium, and cow. The Genboree Discovery System is the largest software system developed at the bioinformatics laboratory at Baylor in close collaboration with the Human Genome Sequencing Center. Genboree is a turnkey software system for genomic research. Genboree is hosted on the Internet and, as of early 2007, the number of registered users exceeds 600. While it can be configured to support almost any genome-centric discovery process, a number of configurations already exist for specific applications. Current focus is on enabling studies of genome variation, including array CGH studies, PCR-based resequencing, genome resequencing using comparative sequence assembly, genome remapping using paired-end tags and sequences, genome analysis and annotation, multi-genome comparison and pattern discovery via genome self-comparison. Genboree database and visualization settings, tools, and user roles are configurable to fit the needs of specific discovery processes. Private permanent project-specific databases can be accessed in a controlled way by collaborators via the Internet. Project-specific data is integrated with relevant data from public sources such as genome browsers and genomic databases. Data processing tools are integrated using a plug-in model. Genboree is extensible via flexible data-exchange formats to accommodate project specific tools and processing steps. Our Positional Hashing method, implemented in the Pash program, enables extremely fast and accurate sequence comparison and pattern discovery by employing low-level parallelism. Pash enables fast and sensitive detection of orthologous regions across mammalian genomes, and fast anchoring of hundreds of millions of short sequences produced by next-generation sequencing technologies. We are further developing the Pash program and employing it in the context of various discovery pipelines. Our laboratory participates in the pilot stage of the TCGA (The Cancer Genome Atlas) project. We aim to develop comprehensive, rapid, and economical methods for detecting recurrent chromosomal aberrations in cancer using next-generation sequencing technologies. The methods will allow detection of recurrent chromosomal aberrations in hundreds of small (

Proper citation: Genboree Discovery System (RRID:SCR_000747) Copy   

•   Source: SciCrunch Registry

http://www.fluwikie.com/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016. Flu Wikie is a topical portal on the flu. Major categories include health, Flu Symptoms, Avian Influenza, Swine Flu, Cold, Vaccination, Pandemic, Vitamin D, and Immune System. Many articles on topic are included.

Proper citation: FluWikie.com (RRID:SCR_000506) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/group/nusselab/cgi-bin/wnt/

A resource for members of the Wnt community, providing information on progress in the field, maps on signaling pathways, and methods. The page on reagents lists many resources generously made available to and by the Wnt community. Wnt signaling is discussed in many reviews and in a recent book. There are usually several Wnt meetings per year.

Proper citation: Wnt homepage (RRID:SCR_000662) Copy   

•   Source: SciCrunch Registry

http://www.drugs.com

The Drugs.com mission is to be the Internets most trusted resource for drug and related health information. We will achieve this aim by presenting independent, objective, comprehensive and up-to-date information in a clear and concise format for both consumers and healthcare professionals. Their goal is to provide clear information about drugs sold in the USA, at a level everyone can comprehend. For consumers, we provide product information in non-technical language. Health professionals will find what they need in the FDA Product Label Professional Information database. The Care Guide provides information about the treatment of common illnesses and injuries. The Drug Interactions checker details drug-drug interaction mechanisms, severity and management, and also outlines drug-food interactions. Drugs.com is NOT an online pharmacy and does not condone the sale of prescription medicines over the Internet without a prescription. Drugs.com simply provides a free drug-information service to help you better understand how medicines work: their uses, side effects and potential to interact with other medicines. For information on purchasing prescription medicines online please visit the FDAs Buying Prescription Medicine Online: A Consumer Safety Guide. Drugs.com medical dictionary is powered by Stedmans. Since 1911, Stedmans Medical Dictionary has been the medical professions most trusted source for medical definitions. A complete medical terms dictionary, Steadmans Electronic Medical Dictionary contains over 107,000 medical terms taken directly from Stedmans Medical Dictionary, 28th Edition. Most search engines cover the entire Internet, and searches on these engines may produce many results that are not specific to your drug question. On Drugs.com, you can search by medical condition or by drug, and get the answer you need right away. Searches by drug can be made using the brand name or the generic name of the drug. Searches by medical condition will return a list of medications used to treat that condition. Sponsors: The Drugs.com drug information service is supported by donations and revenue from site advertisers. The Drugs.com staff endeavor to source ads that are medically or community-service oriented. All ads must be appropriate for all-age family viewing, and we screen banner ads for family-appropriate content before the ads go live.

Proper citation: Drugs.com (RRID:SCR_000656) Copy   

•   Source: SciCrunch Registry

http://gowiki.tamu.edu/wiki/

A wiki where users of the Gene Ontology can contribute and view notes about how specific GO terms are used. GONUTS can also be used as a GO term browser, or to search for GO annotations of specific genes from included organisms. The rationale for this wiki is based on helping new users of the gene ontology understand and use it. The GONUTS wiki is not an official product of the the Gene Ontology consortium. The GO consortium has a public wiki at their website, http://wiki.geneontology.org/. Maintaining the ontology involves many decisions to carefully choose terms and relationships. These decisions are currently made at GO meetings and via online discussion using the GO mailing lists and the Sourceforge curator request tracker. However, it is difficult for someone starting to use GO to understand these decisions. Some insight can be obtained by mining the tracker, the listservs and the minutes of GO meetings, but this is difficult, as these discussions are often dispersed and sometimes don't contain the GO accessions in the relevant messages. Wikis provide a way to create collaboratively written documentation for each GO term to explain how it should be used, how to satisfy the true path requirement, and whether an annotation should be placed at a different level. In addition, the wiki pages provide a discussion space, where users can post questions and discuss possible changes to the ontology. GONUTS is currently set up so anyone can view or search, but only registered users can edit or add pages. Currently registered users can create new users, and we are working to add at least one registered user for each participating database (So far we have registered users at EcoliHub, EcoCyc, GOA, BeeBase, SGD, dictyBase, FlyBase, WormBase, TAIR, Rat Genome Database, ZFIN, MGI, UCL and AgBase...

Proper citation: GONUTS (RRID:SCR_000653) Copy   

•   Source: SciCrunch Registry

http://code.google.com/hosting/

Project Hosting on Google Code provides a free collaborative development environment for open source projects.

Proper citation: Google Project Hosting (RRID:SCR_000811) Copy   

•   Source: SciCrunch Registry

http://www.pbtc.org/

The PEDIATRIC BRAIN TUMOR CONSORTIUM (PBTC) is a multidisciplinary cooperative research organization devoted to the study of correlative tumor biology and new therapies for primary CNS tumors of childhood. PBTC's mission is to contribute rapidly and effectively to the understanding and cure of these tumors through the conduct of multi-center, multidisciplinary, innovative studies with designs and analyses based on uniformly high quality statistical science. While the primary mission of the PBTC is to identify through laboratory and clinical science superior treatment strategies for children with brain cancers, the PBTC investigators recognize their profound responsibility to meet the special needs of the children and families as they face this enormous challenge. Members are committed to working within their institutions and communities to improve support services and follow up care for these patients and their families. The PBTC's primary objective is to rapidly conduct novel phase I and II clinical evaluations of new therapeutic drugs, new biological therapies, treatment delivery technologies and radiation treatment strategies in children from infancy to 21 years of age with primary central nervous system (CNS) tumors. A second objective is to characterize reliable markers and predictors (direct or surrogate) of brain tumors' responses to new therapies. The Consortium conducts research on brain tumor specimens in the laboratory to further understand the biology of pediatric brain tumors. A third objective is to develop and coordinate innovative neuro-imaging techniques. Through the PBTC's Neuro-Imaging Center, formed in May 2000, research to evaluate new treatment response criteria and neuro-imaging methods to understand regional brain effects is in progress. These imaging techniques can also advance understanding of significant neuro-toxicity in a developing child's central nervous system. The Neuro-Imaging Center is supported in part by private sources - grants from foundations and non-profit organizations - in addition to the NCI. As an NCI funded Consortium, the Pediatric Brain Tumor Consortium (PBTC) is required to make research data available to other investigators for use in research projects. An investigator who wishes to use individual patient data from one or more of the Consortium's completed and published studies must submit in writing a description of the research project, the PBTC studies from which data are requested, the specific data requested, and a list of investigators involved with the project and their affiliated research institutions. A copy of the requesting investigator's CV must also be provided. Participating Institutions: Children's Hospital of Philadelphia, Children's National Medical Center (Washington, DC), Children's Memorial Hospital (Chicago), Duke University, National Cancer Institute, St. Jude Children's Research Hospital, Texas Children's Cancer Center, University of California at San Francisco, and University of Pittsburgh.

Proper citation: Pediatric Brain Tumor Consortium (RRID:SCR_000658) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/atp

Autism research program that makes available post-mortem brain tissue to qualified scientists all over the world. Working directly with tissue banks, organ procurement agencies, medical examiners and the general public, this is the largest program dedicated to increasing and enhancing the availability of post-mortem brain tissue for basic research in autism. To date, the ATP has collected and stored more than 170 brains in their repositories at Harvard (US) and Oxford (UK). These brains are processed by formalin fixation and/or snap frozen to properly provide high quality tissue of all brain regions, in support of biological research in autism. The ATP is unique in that they diligently pursue all available clinical data (pre and post mortem) on tissue donors in order to create the most biologically relevant brain repository for autism research. These data, together with tissue resources from both banks and associated repositories, are presented to all interested researchers through their extensive web-based data portal (login required). The ATP is not a brain bank, but works directly with the Harvard Brain Tissue Resource Center in Boston (HBTRC), Massachusetts to serve as its tissue repository. This program augments brain bank functions by: * Creating the most biologically relevant brain tissue repository possible * Fully covering all costs associated with brain extraction and transfer to the repositories at Harvard (US and Canada) and Oxford (UK). * Providing scientific oversight of tissue distributions * Overseeing and managing all tissue grants * Clinically phenotyping and acquiring extensive medical data on all of their donors * Providing continuing family support and communication to all of their donors * Directly supporting researchers to facilitate autism research * Maintaining a robust web based data management and secure on-line global interface system * Developing and supporting ATP established scientific initiatives * Actively providing public outreach and education The ATP is not a clinical organ procurement agency, but rather they facilitate the wishes of donors and families to donate their tissue to autism research. Through the ATP's established international infrastructure, they work with any accredited tissue bank, organ procurement agency, or medical examiner that receives a family's request to donate their loved one's tissue to the program. Once contacted, the ATP will insure that the family's request to donate their loved one's tissue is faithfully met, covering all costs to the family and partnering agency as well as ensuring the tissues' proper and rapid transport to the ATP's repository at the Harvard Brain Tissue Resource Center (HBTRC) in Boston, Massachusetts.

Proper citation: Autism Tissue Program (RRID:SCR_000651) Copy   

•   Source: SciCrunch Registry

http://www.unaids.org

A partnership that leads and inspires the world in achieving universal access to HIV prevention, treatment, care and support. UNAIDS publishes a new Report on the global AIDS epidemic every two years. The Report draws upon and publishes the best available data from countries and provides an overview and commentary on the epidemic and the international response. UNAIDS fulfills its mission by: :- Uniting the efforts of the United Nations system, civil society, national governments, the private sector, global institutions and people living with and most affected by HIV; :- Speaking out in solidarity with the people most affected by HIV in defense of human dignity, human rights and gender equality; :- Mobilizing political, technical, scientific and financial resources and holding ourselves and others accountable for results; :- Empowering agents of change with strategic information and evidence to influence and ensure that resources are targeted where they deliver the greatest impact and bring about a prevention revolution; and :- Supporting inclusive country leadership for sustainable responses that are integral to and integrated with national health and development efforts. Sponsors: This resource is supported by: Advocacy partners; Civil society; Donors; Global Coalition on Women and AIDS; Global Fund to Fight AIDS TB and Malaria; People living with HIV; Private sector, and UN Family.

Proper citation: UNAIDS (RRID:SCR_000773) Copy   

•   Source: SciCrunch Registry

http://cvrl.ioo.ucl.ac.uk/index.htm

The Colour & Vision Research laboratory and database are based at the Institute of Ophthalmology, which is part of University College London. The Institute and CVRL are both closely associated with Moorfields Eye Hospital. The Institute is next door to Moorfields Eye Hospital near Old Street tube station (see directions). At the Colour & Vision Research laboratory, we investigate normal and clinical human visual perception. Our research focuses on questions about colour perception, light and dark adaptation, night-time vision, and the temporal and spatial properties of vision. Our primary goal is to understand the nature of the mechanisms that underlie visual perception, and to understand how those mechanism malfunction in clinical cases. More details about our research can be found by looking at the publications of members of the laboratory. The CVRL database, first set up in 1995, provides an annotated library of downloadable standard data sets relevant to colour and vision research. The focus of this site is primarily scientific and technical, but some introductory background information is also provided. A consistent set of functions for modeling colour vision based on the Stockman & Sharpe cone fundamentals and on our more recent luminous efficiency measurements are summarized under the category CVRL functions. These functions are tabulated in 0.1, 1 and 5 nm steps and can be returned as csv, xml, or tabular data or as dynamic plots. The Stockman & Sharpe cone fundamentals are the basis of a CIE proposal for physiologically-relevant colour matching functions. These functions, which are indentical to the CVRL functions, are summarized under the category CIE 2007 functions. The CIE functions are also tabulated in 0.1, 1 and 5 nm steps, and can also be returned as csv, xml, or tabular data or as dynamic plots. Significant additions to the database are the individual colour matching measurements made by Stiles & Burch. These have been compiled and cross-checked with the help of Boris Oicherman, Alexander Logvinenko, and Abhijit Sarkar from hard copies of the original data provided by Pat Trezona and Mike Webster. They can be obtained as Excel files and are available for both 2 and 10 colour matches. Other data sets, which are provided as csv files, include cone fundamentals, colour matching functions, chromaticity coordinates, prereceptoral filter density spectra, photopigment spectra, and CIE standards. Many of these data sets can also be viewed as dynamic plots. Sponsors: CVRL is funded by BBSRC The Wellcome Trust, Fight for Sight, National Eye Institute, and NIH.

Proper citation: Colour and Vision Research Laboratory (RRID:SCR_000770) Copy   

•   Source: SciCrunch Registry

http://scicrunch.org/Aging

Portal devoted to aging relevant scientific data and resources.

Proper citation: Aging Portal (RRID:SCR_000496) Copy   

•   Source: SciCrunch Registry

http://gtr.rcuk.ac.uk/project/239F234A-6BF7-4E28-8964-E882BAA8EB77

Project aiming to establish a range of new technologies to enable the synthesis of a range of chemicals from sugar beet pulp (SBP) in a cost-effective and sustainable manner. The chemical and pharmaceutical industries are currently reliant on petrochemical derived intermediates for the synthesis of a wide range of valuable products. Decreasing petrochemical reserves and concerns over costs and greenhouse gas emissions are driving the search for renewable sources of organic synthons. The UK is self-sufficient in the production of SBP which is a by-product of sugar beet production (8 million tonnes grown per year) and processing. The ability to convert SBP into chemicals and pharmaceutical intermediates will therefore have significant economic and environmental benefits. SBP is rich in carbohydrate (nearly 80% by weight) which is made up of roughly equal proportions of 2 biological polymers; cellulose and pectin. To be cost-effective it will be necessary to find uses for each of these substances. The consortium will develop a biorefinery approach for the selective breakdown of both polymers, purification of the breakdown compounds and their use to synthesize a range of added value products such as speciality chemicals, pharmaceuticals and biodegradable polymers. It is already known that cellulose can be broken down into hexose sugars and fermented to ethanol for use in biofuels. The focus is on the release of galacturonic acid and arabinose (from pectin) and their conversion, by chemical or enzymatic means, into added value products. Synthetic Biology methods will also be explored to test the feasibility of metabolically engineering microbial cells to simultaneously breakdown the polymeric feed material and synthesize a desired product, such as aromatic compounds, in a single integrated process. In conducting this research the consortium will adopt a holistic, systems-led, approach to biorefinery design and operation. Computer-based modelling tools will be used to assess the efficiency of raw material, water and energy utilization. Economic and Life Cycle Analysis (LCA) approaches will then be employed to identify the most cost-effective and environmentally benign product and process combinations. The project is supported by a range of industrial partners from raw material producer to intermediate technology providers and end-user chemical and pharmaceutical companies. This is crucial in providing business and socio-economic insights regarding the adoption of renewable resources into their current product portfolios. The company partners will also provide the material and equipment resources for the large-scale verification of project outcomes and their ultimate transition into commercial manufacture. The Intellectual Property (IP) expected to be generated by the consortium will most likely be related to new biocatalysts, synthetic routes, USD devices and modelling software. The data is accessible programmatically using one of three application programming interfaces GtR, GtR-2 and CERIF.

Proper citation: Bio-derived Feedstocks for Sustainable UK-Based Manufacture of Chemicals and Pharmaceutical Intermediates (RRID:SCR_000490) Copy   

•   Source: SciCrunch Registry

http://www.yandell-lab.org/software/index.html

Sequenced genomes contain a treasure trove of information about how genes function and evolve. Getting at this information, however, is challenging and requires novel approaches that combine computer science and experimental molecular biology. My lab works at the intersection of both domains, and research in our group can be summarized as follows: generate hypotheses concerning gene function and evolution by computational means, and then test these hypotheses at the bench. This is easier said than done, as serious barriers still exist to using sequenced genomes and their annotations as starting points for experimental work. Some of these barriers lie in the computational domain, others in the experimental. Though challenging, overcoming these barriers offers exciting training opportunities in both computer science and molecular genetics, especially for those seeking a future at the intersection of both fields. Ongoing projects in the lab are centered on genome annotation and comparative genomics; exploring the relationships between sequence variation and human disease; and high-throughput biological image analysis. Current software tools available: VAAST (the Variant Annotation, Analysis & Search Tool) is a probabilistic search tool for identifying damaged genes and their disease-causing variants in personal genome sequences. VAAST builds upon existing amino acid substitution (AAS) and aggregative approaches to variant prioritization, combining elements of both into a single unified likelihood-framework that allows users to identify damaged genes and deleterious variants with greater accuracy, and in an easy-to-use fashion. VAAST can score both coding and non-coding variants, evaluating the cumulative impact of both types of variants simultaneously. VAAST can identify rare variants causing rare genetic diseases, and it can also use both rare and common variants to identify genes responsible for common diseases. VAAST thus has a much greater scope of use than any existing methodology. MAKER 2 (updated 01-16-2012) MAKER is a portable and easily configurable genome annotation pipeline. It's purpose is to allow smaller eukaryotic and prokaryotic genomeprojects to independently annotate their genomes and to create genome databases. MAKER identifies repeats, aligns ESTs and proteins to a genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence-based quality values. MAKER is also easily trainable: outputs of preliminary runs can be used to automatically retrain its gene prediction algorithm, producing higher quality gene-models on seusequent runs. MAKER's inputs are minimal and its ouputs can be directly loaded into a GMOD database. They can also be viewed in the Apollo genome browser; this feature of MAKER provides an easy means to annotate, view and edit individual contigs and BACs without the overhead of a database. MAKER should prove especially useful for emerging model organism projects with minimal bioinformatics expertise and computer resources. RepeatRunner RepeatRunner is a CGL-based program that integrates RepeatMasker with BLASTX to provide a comprehensive means of identifying repetitive elements. Because RepeatMasker identifies repeats by means of similarity to a nucleotide library of known repeats, it often fails to identify highly divergent repeats and divergent portions of repeats, especially near repeat edges. To remedy this problem, RepeatRunner uses BLASTX to search a database of repeat encoded proteins (reverse transcriptases, gag, env, etc...). Because protein homologies can be detected across larger phylogenetic distances than nucleotide similarities, this BLASTX search allows RepeatRunner to identify divergent protein coding portions of retro-elements and retro-viruses not detected by RepeatMasker. RepeatRunner merges its BLASTX and RepeatMasker results to produce a single, comprehensive XML-based output. It also masks the input sequence appropriately. In practice RepeatRunner has been shown to greatly improve the efficacy of repeat identifcation. RepeatRunner can also be used in conjunction with PILER-DF - a program designed to identify novel repeats - and RepeatMasker to produce a comprehensive system for repeat identification, characterization, and masking in the newly sequenced genomes. CGL CGL is a software library designed to facilitate the use of genome annotations as substrates for computation and experimentation; we call it CGL, an acronym for Comparitive Genomics Library, and pronounce it Seagull. The purpose of CGL is to provide an informatics infrastructure for a laboratory, department, or research institute engaged in the large-scale analysis of genomes and their annotations.

Proper citation: Yandell Lab Portal (RRID:SCR_000807) Copy   

•   Source: SciCrunch Registry

https://www.openbiosystems.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Open Biosystems offers products that span Genomics, RNAi and Antibodies. Building on the rapid sharing model that is at the core of the Human Genome Project, Open Biosystems collaborates with some of the most innovative life science investigators working today. We partner with them to bring to market new productsthey have often pioneered the new resources in their own lab, and we prepare it for widespread use and then provide access to the research community. Delivery of genetic content is our most recent technological breakthrough. Recently, we brought to market the Tranz-vector system, the safest human-based lentiviral delivery technology. Further supplementing our already strong line of RNA interference (RNAi) and complementary DNA (cDNA) products, this technology provides investigators with superior delivery capabilities for high-quality cellular screening. The combination or our unique Tranz-vector system and whole genome RNAi and cDNA content enables our customers to perform drug target validation on a large scale. With our genomics resources, Open Biosystems provides the content investigators utilize to unlock the functions of human genes and their relationships to normal and disease development. We offer the most complete gene library in the industry. This novel library consists of several full length cDNA and open reading frame collections. Most prominently among these is the Mammalian Gene Collection (MGC), the industry's gold standard gene catalog. The discovery of RNA interference has revolutionized the way investigators approach the studies of gene expression, regulation and interactions, particularly as it relates to drug development. Our collaboration with Drs. Greg Hannon (CSHL) and Steve Elledge (Harvard) has led the way in the evolution of the short hairpin RNA (shRNA) technologies to provide the life science community with whole genome resources for human, mouse and rat with a multitude of technology and delivery advantages.

Proper citation: Open Biosystems (RRID:SCR_000808) Copy   

•   Source: SciCrunch Registry

http://www.sciencemedicine-edu.org

SUPREP MODEL LEARNING is a standardized credit earning academic exchange program that enables a student from any third world countries or technologically deficient institutions around the world, to attend and earn credits from the best traditional recognized accredited institutions globally, in which the credits earned are transferred to the home institution or SUPREP agency for aggregation towards successful graduation. :The goal of this program is to facilitate bringing students from the third world to reputable undergraduate and graduate neuroscience programs. Additionally, this program also aims t o grant Third World Neuroscience students Academic exchange programs worldwide.

Proper citation: Syndicated Universities Preparatory Research Educational Program (RRID:SCR_000768) Copy   

•   Source: SciCrunch Registry