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http://drcrnet.jaeb.org/

A collaborative network to facilitate multicenter clinical research of diabetic retinopathy, diabetic macular edema and associated conditions. It supports the identification, design, and implementation of multicenter clinical research initiatives focused on diabetes-induced retinal disorders. Principal emphasis is placed on clinical trials, but epidemiologic outcomes and other research may be supported as well. It currently includes over 109 participating sites (offices) with over 320 physicians throughout the United States. Closed and active studies are listed along with the associated protocols, public datasets, and publications.

Proper citation: Diabetic Retinopathy Clinical Research Network (RRID:SCR_001514) Copy   

•   Source: SciCrunch Registry

https://github.com/uci-cbcl/PyLOH

Software for deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity. The model resolves the identifiability problem by integrating two types of sequencing information - somatic copy number alterations and loss of heterozygosity - within an unified probabilistic framework.

Proper citation: PyLOH (RRID:SCR_001511) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/CoGAPS.html

Software that infers biological processes which are active in individual gene sets from corresponding microarray measurements. It achieves this inference by combining a MCMC matrix decomposition algorithm (GAPS) with a novel statistic inferring activity on gene sets.

Proper citation: CoGAPS (RRID:SCR_001479) Copy   

•   Source: SciCrunch Registry

http://direcnet.jaeb.org/

Network of clinical centers and a coordinating center that investigate the potential use of glucose monitoring technology and its impact on the management of type 1 diabetes in children. Specific goals for the network include the following: * Assess the accuracy of continuous monitoring devices in order to determine if these devices are useful in improving glycemic control and preventing hypoglycemia in children with T1DM. * Determine the optimal utilization of continuous glucose monitors in the management of T1DM in children. * Assess the impact of continuous glucose monitoring on quality of life for the child and family. * Develop tools for the child and parents to use for incorporating continuous glucose monitors into diabetes self-management. * To assess possible changes in neurocognitive function and how it relates to frequency of hypoglycemia in young children with type 1 diabetes. * Evaluate and develop distinct, age-appropriate treatment approaches to T1DM in children. * Use continuous glucose monitoring to characterize the glycemic profile of nondiabetic children. * Develop statistical methods for the analysis of continuous glucose monitoring data. Closed and active studies are listed along with the associated protocols, public datasets, and publications.

Proper citation: Diabetes Research in Children Network (RRID:SCR_001512) Copy   

•   Source: SciCrunch Registry

http://nebula.curie.fr/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Web portal that allows users to analyze ChIP-seq data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Nebula (RRID:SCR_001516) Copy   

•   Source: SciCrunch Registry

https://github.com/ElementoLab/ChIPseeqer

Software that provides a comprehensive framework for the analysis of ChIP-seq data.

Proper citation: ChIPseeqer (RRID:SCR_001545) Copy   

•   Source: SciCrunch Registry

https://www.searchfordiabetes.org/

National multi-center study aimed at understanding more about diabetes among children and young adults in the United States less than 20 years of age in six geographically dispersed populations that encompass the ethnic diversity of the United States. SEARCH has been helping to find answers about the types of diabetes, its complications, and how having diabetes affects the lives of children and young adults. There are more than 20,000 study participants representing all different racial and ethnic backgrounds who have helped SEARCH determine the extent of diabetes in the community and its impact on different populations. The SEARCH Study invites Investigators interested in childhood Diabetes Research to collaborate on matters of interest to the field of childhood Diabetes.

Proper citation: SEARCH for Diabetes in Youth (RRID:SCR_001540) Copy   

•   Source: SciCrunch Registry

http://www.niddklabs.org

Consortium comprised of six clinical centers and a data coordinating center to facilitate coordinated clinical, epidemiological, and behavioral research in the field of bariatric surgery, through the cooperative development of common clinical protocols and a bariatric surgery database that will collect information from participating clinical centers. LABS will help pool the necessary clinical expertise and administrative resources to facilitate the conduct of multiple clinical studies in a timely, efficient manner. Also, the use of standardized definitions, clinical protocols, and data-collection instruments will enhance the investigator's ability to provide meaningful evidence-based recommendations for patient evaluation, selection, and follow-up care. The consortium was funded in September 2003. The investigators have collaboratively developed a core database and clinical protocols, and subject enrollment began in early 2005. A repository of data and biological specimens for future research also will be collected by the centers participating in LABS. These will provide valuable resources for future study of obesity and its complications.

Proper citation: Longitudinal Assessment of Bariatric Surgery (RRID:SCR_001536) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowFP.html

A Bioconductor software package for fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.

Proper citation: flowFP (RRID:SCR_001537) Copy   

•   Source: SciCrunch Registry

http://alfred.med.yale.edu

A public curated compilation of allele frequency data on anthropologically defined human population samples linked to the molecular genetics-human genome databases. Only data on well defined population samples that are large enough to yield reasonably accurate frequencies and for polymorphisms sufficiently defined to be replicable can be included in ALFRED. Researchers wishing to have their data entered into ALFRED should contact them. Initially, ALFRED contained primarily data generated in the laboratories of K.K. and J.R. Kidd in the Department of Genetics at Yale, including extensive unpublished data. Data from the published literature are being entered into ALFRED in a systematic way, with a focus on polymorphisms studied in many different populations. ALFRED is distinct from such databases as dbSNP, which catalogs sequence variation. ALFRED's focus is on allele frequencies in diverse anthropologically defined populations. It is not a compendium of human DNA polymorphisms but of frequencies of selected polymorphisms with an emphasis on those that have been studied in multiple populations. All of the data in ALFRED are considered to be in the public domain and available for use in research and teaching. ALFRED provides easy searching options including versatile "Keyword search" and also has numerous summary tables providing quick overviews of contents by chromosome, population, average heterozygosity, Fst and others, all available under various tabs from the ALFRED homepage.

Proper citation: ALFRED (RRID:SCR_001730) Copy   

•   Source: SciCrunch Registry

https://sbpdiscovery.org/tag/neuroscienceandagingresearchcenter/

Center that translates basic science discoveries into new treatments to extend lifespan and to combat degenerative disorders associated with aging or development. Their researchers are discovering the etiological pathways as well as small-molecule and stem cell-based treatments to address the clinical unmet need of these patients. The Center uses a team based approach to apply their expertise in stem cells to develop therapies for new treatments for stroke and Parkinson's disease. They are also performing high-throughput screens to identify new molecules to protect the synapses of nervesthe connections between nerves that mediate movement, memory and cognition for Alzheimer's, Parkinson's and autism. By studying the links between Down syndrome and Alzheimer's disease, they are exploring new treatments to improve cognition in both disorders. Their collaborations with clinical partners enable them to test new discoveries in human trials, with a goal to improve the lives of patients and families affected by neurodegenerative disease and aging disorders.

Proper citation: Sanford-Burnham Neuroscience and Aging Research Center (RRID:SCR_001688) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/MCMC.qpcr/

Software package that implements generalized linear mixed model analysis of qRT-PCR data based on lognormal-Poisson model fitted using MCMC. Control genes are not required but can be incorporated as Bayesian priors or, when template abundances correlate with conditions, as trackers of global effects (common to all genes). Also implemented are the lognormal model for higher-abundance data and a classic model involving multi-gene normalization on a by-sample basis. Several plotting functions are included to extract and visualize results.

Proper citation: MCMC.qpcr (RRID:SCR_001721) Copy   

•   Source: SciCrunch Registry

http://matrixdb.univ-lyon1.fr/

Freely available database focused on interactions established by extracellular proteins and polysaccharides, taking into account the multimeric nature of the extracellular proteins (e.g. collagens, laminins and thrombospondins are multimers). MatrixDB is an active member of the International Molecular Exchange (IMEx) consortium and has adopted the PSI-MI standards for annotating and exchanging interaction data. It includes interaction data extracted from the literature by manual curation, and offers access to relevant data involving extracellular proteins provided by the IMEx partner databases through the PSICQUIC webservice, as well as data from the Human Protein Reference Database. The database reports mammalian protein-protein and protein-carbohydrate interactions involving extracellular molecules. Interactions with lipids and cations are also reported. MatrixDB is focused on mammalian interactions, but aims to integrate interaction datasets of model organisms when available. MatrixDB provides direct links to databases recapitulating mutations in genes encoding extracellular proteins, to UniGene and to the Human Protein Atlas that shows expression and localization of proteins in a large variety of normal human tissues and cells. MatrixDB allows researchers to perform customized queries and to build tissue- and disease-specific interaction networks that can be visualized and analyzed with Cytoscape or Medusa. Statistics (2013): 2283 extracellular matrix interactions including 2095 protein-protein and 169 protein-glycosaminoglycan interactions.

Proper citation: MatrixDB (RRID:SCR_001727) Copy   

•   Source: SciCrunch Registry

http://www.archive.org/

An Internet library offering the general public access to historical collections that exist in digital format including texts, audio, moving images, and software. Additionally it provides archived web pages in their collections, and specialized services for adaptive reading and information access for the blind and other persons with disabilities. Founded in 1996 and located in San Francisco, the Archive has been receiving data donations from Alexa Internet and others. In late 1999, the organization started to grow to include more well-rounded collections.

Proper citation: Internet Archive (RRID:SCR_001682) Copy   

•   Source: SciCrunch Registry

http://www.biocatalogue.org/

Crowd-curated catalog of life sciences Web services with over 2400 service entries, thereby enabling users (people and programs) to discover and use these services easily. It provides a platform with several (standardized) interfaces and a suite of tools for registration of services by the community of users as well as empowers the community to extend and enhance the system. BioCatalogue provides a centralized biological web services market place which is accessible to the world as it is searchable and indexable to search engines. Additionally, it provides a quality of service standard for biological web services thereby enabling services to be classified and checked for availability, reliability and other quality measures. Primary goals: * Provide a single registration point for Web Service providers and a single search site for scientists and developers. * Providers, Expert curators and Users will provide oversight, monitor the catalog and provide high quality annotations for services. * BioCatalogue is a place where the community can find contacts and meet the experts and maintainers of these services.

Proper citation: Biocatalogue - The Life Science Web Services Registry (RRID:SCR_001679) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/src/contrib/Archive/QuasiSeq/

Software package to apply the QL, QLShrink and QLSpline methods to quasi-Poisson or quasi-negative binomial models for identifying differentially expressed genes in RNA-seq data.

Proper citation: QuasiSeq (RRID:SCR_001715) Copy   

•   Source: SciCrunch Registry

http://www.pathwaycommons.org/

Data management software that runs the Pathway Commons web service. It makes it easy to aggregate custom pathway data sets available in standard exchange formats from multiple databases, present pathway data to biologists via a customizable web interface, and export pathway data via a web service to third-party software, such as Cytoscape, for visualization and analysis. cPath is software only, and does not include new pathway information. Main features: * Import pipeline capable of aggregating pathway and interaction data sets from multiple sources, including: MINT, IntAct, HPRD, DIP, BioCyc, KEGG, PUMA2 and Reactome. * Import/Export support for the Proteomics Standards Initiative Molecular Interaction (PSI-MI) and the Biological Pathways Exchange (BioPAX) XML formats. * Data visualization and analysis via Cytoscape. * Simple HTTP URL based XML web service. * Complete software is freely available for local install. Easy to install and administer. * Partly funded by the U.S. National Cancer Institute, via the Cancer Biomedical Informatics Grid (caBIG) and aims to meet silver-level requirements for software interoperability and data exchange.

Proper citation: cPath (RRID:SCR_001749) Copy   

•   Source: SciCrunch Registry

http://datahub.io/dataset/kupkb

A collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint http://sparql.kupkb.org/sparql The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made.

Proper citation: Kidney and Urinary Pathway Knowledge Base (RRID:SCR_001746) Copy   

•   Source: SciCrunch Registry

http://www.kent.edu/

Public university in Ohio providing undergraduate and graduate degrees, as well as access to various institutes.

Proper citation: Kent State University; Ohio; USA (RRID:SCR_001698) Copy   

•   Source: SciCrunch Registry

http://gmod.org/wiki/Main_Page

A collection of open source software tools for creating and managing genome-scale biological databases. GMOD is made up databases, applications, and adaptor software that connects these components together. You can use it to create a small laboratory database of genome annotations, or a large web-accessible community database. At first GMOD just featured model organisms but now any organism with any kind of sequence associated with it is a good candidate as a subject for a GMOD database. There are GMOD databases with just protein sequence in them, with EST sequence only, those that are concerned primarily with gene expression, and even those dedicated to collections of RNA sequence. They have also heard of GMOD databases for oligonucleotides and plasmids.

Proper citation: Generic Model Organism Database Project (RRID:SCR_001731) Copy   

•   Source: SciCrunch Registry