Curator Dashboard

The Cell4Cure consortium aims to advance the cGMP production of therapeutic cell therapies. The consortium is led by Cellectis, a biotech focused in the development of adoptive immunotherapies and CELLforCURE, the largest commercial industrial facility for the production of therapeutic cell therapies in Europe. The consortium also includes seven public-sector organizations and university medical centers, who collaborate with the private sector companies.

• Organization
• Consortia-pedia, a FasterCures Project
• 12 years ago - submitted by Taylor Cronin

The BioMedical Materials (BMM) consortium focuses on advancing the use of new materials to biomedical research. As a public-private partnership, the consortium includes the participation of over 50 leading institutions, corporations, and health foundations, with support from the government of the Netherlands. The activities of this consortium have ended. The website and materials will be available until 12-31-2015.

• Organization
• Consortia-pedia, a FasterCures Project
• 12 years ago - submitted by Taylor Cronin

EU funded consortium including over 30 partner from academia and industry. BiomarCaRE aims to determine the value of established and emerging biomarkers to improve risk estimation of cardiovascular disease in Europe. BiomarCaRE relies on an exceptional resource of large scale epidemiological cohorts with long term follow-up and available bio specimens based on the population of the MORGAM Project as well as several cardiovascular disease cohorts and clinical trials.

• Organization
• Consortia-pedia, a FasterCures Project
• 12 years ago - submitted by Taylor Cronin

Consortium aiming to identify the remaining genetic risk variants for Age-related Macular Degeneration (AMD). To increase the statistical power needed to identify genes that have small, yet significant contributions to AMD, the consortium is conducting a meta-analysis on 15 Genome Wide Association Studies (GWAS) pooled from consortium members representing over 8,000 patients with advanced AMD (dry type, neovascular, or both) and 50,000 controls. In addition to verifying known genes, the consortium identified 19 new gene variants. The genes identified in these studies function in the immune system, cholesterol transport and metabolism, and formation and maintenance of connective tissue. This study provides a nearly complete picture of genetic heritability for AMD.

• Organization
• Consortia-pedia, a FasterCures Project
• 12 years ago - submitted by Taylor Cronin

This is the synthetic antigen sequence from which Biotrend anti-SST2A antibodies are raised.

• Resource
• SciCrunch
• 12 years ago - submitted by simon mcmullan

Software package for editing and preparation of bitmap and vector graphics

• Resource
• SciCrunch
• 12 years ago - submitted by simon mcmullan

Software for image capture, processing and analysis with Leica fluorescence and confocal microscopes.

• Resource
• SciCrunch
• 12 years ago - submitted by simon mcmullan

User interface software for Carl Zeiss light microscopy imaging systems. ZEN is the universal user interface you will see on every imaging system from ZEISS. After selecting fluorophore, ZEN applies the necessary settings to collect and organize data.

• Resource
• SciCrunch
• 12 years ago - submitted by simon mcmullan

The Care Connectivity Consortium (CCC) is working to address and overcome the most critical and key challenges to effective health information exchange (HIE), to make HIE technologies more versatile and valuable for patients, caregivers, and health care organizations. By developing improved technologies for comprehensive, secure, reliable and innovative HIE, the CCC aims to enable health care provider organizations nationwide to deliver better, timelier, and more informed patient care.

• Organization
• Consortia-pedia, a FasterCures Project
• 12 years ago - submitted by Taylor Cronin

The Cancer Genomics of the Kidney (CAGEKID) consortium brings together expertise in clinical care and epidemiology with genomic expertise. This consortium is an effort of the larger International Cancer Genome Consortium (ICGC), which has the goal of obtaining a comprehensive description of genomic, transcriptomic and epigenomic changes in 50 different tumour types and/or subtypes with the aim of elucidating the genomic changes present in the many forms of cancers that contribute to the burden of disease throughout the world.

• Organization
• Consortia-pedia, a FasterCures Project
• 12 years ago - submitted by Taylor Cronin

A project''s launch partners are three research studies that have an established record crowd-sourcing health data for research studies. One initiatives is the Personal Genome Project, established at geneticist George Church''s Harvard lab, which creates a freely available scientific resource that brings together genomic, environmental and human trait data. These data are donated by volunteers enrolled in a PGP study from our global network. A second partner is the GoViral project, started by researchers at Harvard University and New York University, which enables volunteers to provide easy-to-collect specimens when sick with a respiratory infection, and get confirmation of what type of viral illness they have. By testing samples when symptoms occur, participants can validate symptomatic reports as well as enable a better understanding of the representativeness of self-reported data and symptom profiles for different acute respiratory illnesses. Third on the list is the American Gut project, based at the University of California-San Diego and the University of Chicago, which is studying the vast microbial flora that inhabit the human digestive system from crowd-sourced (and properly sealed) samples of feces or skin swabs.

• Resource
• SciCrunch
• 12 years ago - by Anonymous

The FP-CIT SPECT brain template has been created using a fully automatic procedure involving posterization of the source image to three levels: background, brain and striatum. We performed a spatial affine registration of these 40 posterized source images to a posterized reference image in the MNI space. The intensity values of the transformed images is normalized linearly, assuming that the histogram of the intensity values follows an alpha-stable distribution. Lastly, we built the [123I]FP-CIT SPECT template by the mean of the transformed and normalized images. More info: 1) Salas-Gonzalez et al. Building a FP-CIT SPECT brain template using a posterization approach. Accepted in Neuroinformatics. 2) Salas-Gonzalez et al. Linear intensity normalization of FP-CIT SPECT brain images using the alpha-stable distribution. NeuroImage, Volume 65, 2013, pp. 449-455. http://dx.doi.org/10.1016/j.neuroimage.2...

• Resource
• SciCrunch
• 12 years ago - submitted by Anita Bandrowski

Collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as a means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication.

• Resource
• SciCrunch
• 12 years ago - submitted by Anita Bandrowski

Scientific Transparency (SciTran) is a software project that has grown out of the Project on Scientific Transparency at Stanford University. At the heart of SciTran is a scientific data management system – SDM – designed to enable and foster reproducible research. SciTran SDM delivers efficient and robust archiving, organization, and sharing of scientific data. We have developed the system around neuroimaging data, but our goal is to build a system that is flexible enough to accomodate all types of scientific data – from paper-and-pencil tests to genomics data. SDM will also allow for the sharing of data and computations between remote sites. SciTran is open-source software, released under the MIT license. Our code is hosted on GitHub. Feel free to try it out or to contribute. Commercial support for SciTran SDM is available through our partners at Flywheel. Check out their demo, if you''d like to give SDM a quick try.

• Resource
• SciCrunch
• 12 years ago - submitted by Anita Bandrowski

Mass spectrometry Interactive Virtual Environment (MassIVE) is a community resource developed by the NIH-funded Center for Computational Mass Spectrometry to promote the global, free exchange of mass spectrometry data. Data repository for proteomics data.

• Resource
• SciCrunch
• 12 years ago - submitted by Anita Bandrowski

A resource for managing study data collected by the Northwestern University neuroimaging community. It includes a secure database, automated pipelines for processing managed data, and tools for exploring and accessing the data. Access to data in the NUNDA is restricted to users authorized by the specific study's investigators. The NUNDA is hosted by the Neuroimaging & Applied Computational Anatomy Lab, and it is modeled after the Washington University's Central Neuroimaging Data Archive (CNDA). The NUNDA is powered by XNAT, an open source software package for managing neuroimaging and related data.

• Resource
• SciCrunch
• 12 years ago - submitted by Anita Bandrowski

Volume Visualization and Naviagtion Tool (VVNT) is a platform to visualize, navigate, process and analyze the multi-modality multi-dimensional medical images. Image processing functions from the Insight Registration and Segmentation tool kit (ITK), Volume visualization functionality from the Visualization tool kit (VTK) are seamlessly integrated into this application. It is built as a Multi-Document Interface (MDI) application, so that several windows can be opened, several operations compared.Some of the current features include * Opens all formats of the DICOM files. * Performs basic image processing functions, contrast brightness adjustments, zooming, panning and other operations. * Surface rendering and Maximum Intensity Projections. * Rotate the rendered volume by specified direction and angle * Automatic segmentation / object extraction * Voxel counts and statisticsSeveral volume measurements and processing functions are currently being added.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

SNAP (Small-world Network Analysis and Partitioning) is an extensible parallel framework for exploratory analysis and partitioning of large-scale networks. SNAP is implemented in C, uses OpenMP primitives for parallelization, and targets sequential, multicore, and symmetric multiprocessor platforms. Our intent with SNAP is to provide a simple and intuitive interface for network analysis and application design, hiding the parallel programming complexity from the user. In addition to path-based, centrality, and community identification queries on large-scale graphs, we support commonly-used preprocessing kernels and quantitative measures that help understand the global network topology. The latest version of SNAP (0.4) was released in August 2010. Sponsors: This work was supported in part by NSF Grants CAREER CCF-0611589, NSF DBI-0420513, ITR EF/BIO 03-31654, IBM Faculty Fellowship and Microsoft Research grants, NASA grant NP-2005-07-375-HQ, and DARPA Contract NBCH30390004. Keywords: network, analysis, software, graph, traversal, betweenness centrality, community, identification, multicore,

• Resource
• SciCrunch
• 17 years ago - by Anonymous

NeuGen is a tool for the efficient generation and description of dendritic and axonal morphology of realistic neurons and neural networks in 3D. :NeuGen builds real neural network geometries and is based on experimental data. The ''in silico'' neurons are based on cells of cortical columns in the neocortex. :L4 spiny stellate neurons, L2/3 pyramidal cells, L5A and L5B pyramidal cells, L4 star pyramidal cells, measuring of morphological paprameters (This is misspelled so not sure we can use), .hoc files, .dx resp. .net files, Via .net files, Data visualization software, OpenDX DataExplorer, simulation software, NEURON, Anatomical Fingerprints, stochastic model, Electromagnetic Simulation Software :

• Resource
• SciCrunch
• 17 years ago - by Anonymous

A networking tool for European researchers abroad. It provides information about research in Europe, European research policy, opportunities for research funding, for international collaboration and for trans-national mobility. Membership is free. :The objective of EURAXESS Links is a flourishing network of European researchers, scientists and scholars abroad. The network is already running in the USA since 2005 and has been launched in Japan in June 2008. The members of the network are informed about European Union research policies and made aware of career opportunities in Europe as well as opportunities for collaboration with Europe. The multidisciplinary network involves researchers at all stages of their careers and allows them to become well connected amongst themselves and in Europe, ensuring that they are recognised as an important resource for the European Research Area, whether they remain abroad or choose to return. :Through the success of the network, EURAXESS Links is intended to contribute to the improvement of Europe''s position in the global competition for talent, and the reinforcement of research collaboration. :EURAXESS Links focuses on three types of activity: networking of researchers, information dissemination and helping expatriate researchers to collaborate with colleagues in Europe or to return to rewarding careers in Europe. Membership of EURAXESS Links is free. :social networking; people resource :

• Resource
• SciCrunch
• 17 years ago - by Anonymous