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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.
http://www.westonfoundation.org/
Foundation that gives grants in Canada for the benefit of Canadians and directs its resources to specific organizations in Education, Land Conservation and Science in Canada''s North. In addition, it provides funds to further Canada''s research in neuroscience. These programs are director-initiated and the Foundation therefore does not accept applications for funding. By law, the Foundation is only able to support Canadian charities that are registered with the Canadian Revenue Agency. These charities must have a CRA charitable number and offer programs benefiting Canadians in Canada.
Proper citation: W. Garfield Weston Foundation (RRID:SCR_004017) Copy
http://www.cxrbiosciences.com/
Commercial organization that provides preclinical services and expertise, specializing in investigative toxicology, exploratory and discovery toxicology, metabolism and pharmacokinetics. CXR Biosciences is now Concept Life Sciences.
Proper citation: CXR Biosciences (RRID:SCR_003961) Copy
http://www.alz.org/research/alzheimers_grants/biomarkers-across.asp
Consortium that launched a Request for Applications (RFA) to stimulate analyses across the Alzheimer's disease (AD) and Parkinson's disease (PD) research enterprises to engage in further data analysis of existing cohorts, including, but not limited to, biomarker discovery, standardization of assays, genetic profiles, and imaging modalities. The RFA aims to build on existing momentum to leverage similar activities and increase impact across the neurodegenerative disease spectrum. It also builds on recent evidence suggesting substantial overlap between AD, PD, and other neurodegenerative diseases pathologically, but also potentially biologically. The RFA is designed to enable preliminary pilot research or proof-of-principle studies utilizing data and/or samples from two large biomarker studies, the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Parkinson's Progression Markers Initiative (PPMI), in order to garner further research support from other funding agencies. Application Deadline: March 19, 2014. Efforts under BAND include studies that: * analyze datasets to test hypotheses related to aging and neurodegenerative disorders; * seek to identify panels or pathways that may play a role in disease mechanisms, such as around inflammation; * pursue shared or disparate biochemical markers of disease risk, onset or progression; * assess potential commonalities across the disease spectrum, including around other neurological disorders such as Lewy body dementia. Recent data reported at the 2013 Alzheimer's Association's International Conference stimulated discussion in the research community about the possible cross talk between AD and PD. For example, underlying pathologies / biomarkers, such as cerebrospinal fluid (CSF) alpha-synuclein, have been measured in the sample sets collected for both diseases to help understand similarities and differences in these diseases. Furthermore, similar imaging modalities, such as MRI and PET, are being employed to interrogate changes that occur with disease progression. As therapeutic approaches are developed that may be disease-modifying for several neurodegenerative diseases, stratification of clinical trial populations based on biomarker profiles may increase the probability of success in demonstrating a beneficial effect.
Proper citation: Biomarkers Across Neurodegenerative Diseases (RRID:SCR_004015) Copy
THIS RESOURCE IS OUT OF SERVICE, documented on July 23, 2021. Small and medium-sized enterprise (SME) that is expert in management of research projects. Initially, they provide support with help and advice when applying for European research grants - free of charge. From project start, they take over contract negotiations, financial management, reporting to the EC, meeting organization, public relations and much more. ARTTIC Innovation GmbH took over GAVBO:mi.
Proper citation: GABO:mi (RRID:SCR_003956) Copy
THIS RESOURCE IS OUT OF SERVICE, documented on July 23, 2021.Commercial organization with expertise in European research and innovation that provide both science providers (researchers) and technology users (Industry including SMEs, public authorities, Universities, clusters, etc.) tailor-made services to give the highest possible European added value to their project.
Proper citation: Interface Europe (RRID:SCR_003955) Copy
A small and medium-sized enterprise (SME) that has expertise in preclinical pharmacology, pharmacokinetics, and toxicology for the characterization of novel anticancer therapeutics and predictive biomarkers like: cytostatics, biologicals (peptides, antibodies), (anti)-hormones, immunomodulators (cytokines), and gene therapeutics. EPO has modern laboratories licensed for animal experiments and gene technology (S2) and a broad panel of murine and human tumor models growing in immunocompetent (SPF-quality, syngeneic strains) or immunodeficient mice (nude, SCID, NOD/SCID). EPO has established imaging technologies to monitor in vivo tumor growth.
Proper citation: Experimental Pharmacology and Oncology Berlin-Buch (RRID:SCR_003954) Copy
Commercial organization that uses next generation sequencing technologies coupled with computational modeling of tumor and somatic tissues in order to identify individualized therapies for cancer patients. The company also uses these technologies to help pharmaceutical partners stratify patients for their clinical trials. Alacris has an exclusive worldwide commercial license for the computational modeling of tumors and somatic tissues using proprietary computational systems modeling technologies ModCell developed at the Max Planck Institute for Molecular Genetics (MPI-MG) in Berlin coupled with next generation sequencing and genotyping technology developed at Harvard Medical School in Boston. The company also is building up the first next generation sequencing center in Europe for clinical operations.
Proper citation: Alacris Theranostics (RRID:SCR_003953) Copy
Commercial organization focused on the development and exploitation of novel biomarkers for psychiatric illnesses. They provide industrial and academic partners with comprehensive biomarker discovery services in commercial and collaborative projects. They operate in the field of psychiatric disorders and their products and services are designed to excel biomarker research. In 2010, Psynova Neurotech and its partner company Rules-Based-Medicine Inc (now MyriadRBM) conducted a beta launch of a blood test aiding in the diagnosis of schizophrenia (http://www.veripsych.com/). They are now refining the test and have shifted their focus to the development of new blood-based biomarker tests that aid in the diagnosis, prognosis and differential diagnosis of schizophrenia, bipolar disorder and major depression. They offer not only their pre-selceted Multiple Reaction Monitoring (MRM) and Multiplex Immunoassay products, but also custom build panels. If they are provided with a list of analyses to evaluate, they can produce an analytical panel according to individual needs utilizing either MRM or Multiplex Immunoassay technologies., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Psynova Neurotech (RRID:SCR_003959) Copy
http://www.thecommunityguide.org/uses/funding.html
http://www.thecommunityguide.org/uses/funding.html
Proper citation: Coordinating center for infectious diseases (RRID:SCR_003958) Copy
http://evolution.genetics.washington.edu/phylip.html
A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems.
Proper citation: PHYLIP (RRID:SCR_006244) Copy
http://www.semantic-mediawiki.org/wiki/Semantic_MediaWiki
A free, open-source extension to MediaWiki - the wiki software that powers Wikipedia - that helps to search, organize, tag, browse, evaluate, and share the wiki''s content. While traditional wikis contain only text which computers can neither understand nor evaluate, SMW adds semantic annotations that allow a wiki to function as a collaborative database. Semantic MediaWiki introduces some additional markup into the wiki-text which allows users to add semantic annotations to the wiki. While this first appears to make things more complex, it can also greatly simplify the structure of the wiki, help users to find more information in less time, and improve the overall quality and consistency of the wiki. A large number of related extensions have been created that extend the ability to edit, display and browse through the data stored by SMW: the term Semantic MediaWiki is sometimes used to refer to this entire family of extensions.
Proper citation: Semantic MediaWiki (RRID:SCR_006246) Copy
http://www.birncommunity.org/tools-catalog/human-imaging-database-hid/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented October 5, 2017.
Database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large. The HID can be extended to contain relevant information concerning experimental subjects, assessments of subjects, the experimental data collected, the experimental protocols, and other metadata normally included with experiments.
Proper citation: Human Imaging Database (RRID:SCR_006126) Copy
https://github.com/RGLab/pepStat
Software for statistical analysis of peptide microarrays. It uses an integrated analytical method for analyzing peptide microarray antibody binding data, from normalization through subject-specific positivity calls and data integration and visualization.
Proper citation: pepStat (RRID:SCR_006240) Copy
http://stormo.wustl.edu/ScerTF
Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region.
Proper citation: ScerTF (RRID:SCR_006121) Copy
http://www-bionet.sscc.ru/sitex/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms.
Proper citation: SitEx (RRID:SCR_006122) Copy
http://idp1.force.cs.is.nagoya-u.ac.jp/pscdb/
Database for protein structural change upon ligand binding that are classified into 7 classes in terms of the ligand binding sites and the location where the dominant motion occurs. # Coupled Domain motions are the domain motions induced upon ligand binding. # Independent Domain motions are the observable domain motions regardless of ligand binding. # Coupled Local motions are the local motions induced upon ligand binding. # Independent Local motions are the observable local motions regardless of ligand binding. # Burying ligand motions are imaginable motions required to hold ligand protein-inside. # No significant motions mean just nothing happen. # Other motions are motions unclassified into domain and local motions. Proteins are flexible molecules that undergo structural changes to function. The Protein Data Bank contains multiple entries for identical proteins determined under different conditions, e.g. with and without a ligand molecule, which provides important information for understanding the structural changes related to protein functions. We gathered 839 protein structural pairs of ligand-free and ligand-bound states from monomeric or homo-dimeric proteins, and constructed the Protein Structural Change DataBase (PSCDB). In the database, we focused on whether the motions were coupled with ligand binding. As a result, the protein structural changes were classified into seven classes, i.e. coupled domain motion (59 structural changes), independent domain motion (70), coupled local motion (125), independent local motion (135), burying ligand motion (104), no significant motion (311) and other type motion (35). PSCDB provides lists of each class. On each entry page, users can view detailed information about the motion, accompanied by a morphing animation of the structural changes.
Proper citation: PSCDB - Protein Structural Change DataBase (RRID:SCR_006116) Copy
http://purl.bioontology.org/ontology/RETO
An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations.
Proper citation: Regulation of Transcription Ontology (RRID:SCR_006238) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication.
Proper citation: Proteome Commons (RRID:SCR_006234) Copy
Online repository of open access images including MR Sessions, MRI, Freesurfer APARC, Freesurfer ASEGs, Clinical Assessments, Atlas Scaling Factors, and Fast Segmentations data. CENTRAL currently contains 374 Projects, 3808 Subjects, and 5174 Imaging Sessions (June 2014). Central is powered by XNAT (The Extensible Neuroimaging Archive Toolkit), an open source software platform designed to facilitate management and exploration of neuroimaging and related data. XNAT includes a secure database backend and a rich web-based user interface.
Proper citation: XNAT Central (RRID:SCR_006235) Copy
https://compbio.dfci.harvard.edu/predictivenetworks//
A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model.
Proper citation: Predictive Networks (RRID:SCR_006110) Copy
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