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Project focused on cerebral aneurysms and provides integrated decision support system to assess risk of aneurysm rupture in patients and to optimize their treatments. IT infrastructure has been developeded for management and processing of vast amount of heterogeneous data acquired during diagnosis.
Spanish higher education institution, located in the city of Salamanca, west of Madrid, in the autonomous community of Castile and León. It was founded in 1134 and given the Royal charter of foundation by King Alfonso IX in 1218.
Core Facility provides infrastructure for high-performance computing and data storage (local and cloud). Services include access and training for use of high-performance computing resources, data analysis and visualization, data integration, statistical analysis, and image analysis.
Ontology for the healthcare common procedure coding system.
A division of the University of Texas that is dedicated to medical education.
Source code that allows you to calculate the different measures used in Chicharro D, Andrzejak RG (2009): Reliable detection of directional couplings using rank statistics. Physical Review E, 80, 026217.
Database of microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm). InSatDb allows users to obtain microsatellites annotated with size (in bp and repeat units); genomic location (exon, intron, up-stream or transposon); nature (perfect or imperfect); and sequence composition (repeat motif and GC%). One can access microsatellite cluster (compound repeats) information, and a list of microsatellites with conserved flanking sequences (microsatellite family or paralogs). InSatDb is complete with insect information, web links to find details, methodology and a tutorial. A separate Analysis section illustrates the comparative genomic analysis that can be carried out using the InSatDb output.
Public research university on the outskirts of Coventry between the West Midlands and Warwickshire, England. It was founded in 1965 as part of a government initiative to expand higher education.
Software with approach that leverages machine learning and network biology to predict brain gene expression from blood-derived features.
Collection of non-coding RNAs (excluding tRNAs and rRNAs) as an integrated knowledge database. Used to get text information such as class,name,location,related publication,mechanism through which it exerts its function, view figures which show their location in the genome or in a specific DNA fragment, and the regulation elements flanking the ncRNA gene sequences.
Private research university in Greater St. Louis with its main campus mostly in unincorporated St. Louis County, Missouri and Clayton, Missouri.
Software package for flexible spatial reconstruction of single-cell gene expression with optimal transport. Framework for de novo spatial reconstruction of single-cell gene expression. Assigns cells to tissue locations using probabilistic/optimal-transport models, with or without prior marker information, and returns spatial maps and assignment probabilities.
It provides access to results from RNAi interference studies in C. elegans, including images, movies, phenotypes, and graphical maps. RNAiDB contains all published RNAi experiments in C. elegans that have been deposited in WormBase, including data from the literature and published large-scale RNAi studies. RNAi to gene mappings for all experiments have been re-analyzed using ePCR and/or a sliding n-mer window method to identify all genes in different genomic locations that may potentially be inhibited by each experiment. Gene maps showing canonical and putative alternate mappings are displayed graphically on RNAi Experiment and Gene/ORF card pages.
Open software pipeline for analyzing RNA-seq to predict neoepitopes derived from small to large sized indels. Used for identifying indel derived neoantigens using RNA-Seq data.
Software R package for Bounded Memory Linear and Generalized Linear Models. Regression for data too large to fit in memory.
BrainWeb provides information and links to validated sites about brain diseases and disorders. These include outside resources reviewed by scientific advisers, as well as articles in Dana publications. Sites listed in BrainWeb detail common brain diseases and disorders, and include general neuroscience and health resources. They offer descriptions of conditions, frequently asked questions, organization contacts, and sources for more information. BrainWeb and its links are suitable for lay readers, including students and educators, as well as people with brain disorders, their families, and caregivers.
CSIRO, the Commonwealth Scientific and Industrial Research Organisation, is Australia''s national science agency and one of the largest and most diverse research agencies in the world. National Research Flagships: Large-scale, long-term, multidisciplinary science to address Australia''s major national challenges and opportunities. Divisions: CSIRO expertise is organised into 14 research areas: * Animal, Food and Health Sciences * Astronomy and Space Science * Earth Science and Resource Engineering * Ecosystem Sciences * Energy Technology * Food & Nutritional Sciences * ICT Centre * Land and Water * Livestock Industries * Marine and Atmospheric Research * Materials Science & Engineering * Mathematics, Informatics and Statistics * Plant Industry * Process Science and Engineering National Facilities: CSIRO manages national facilities and collections that are opened to researchers around Australia and overseas.
Portuguese national research infrastructure which provides expert consultation for the safe and effective use of vector technologies, and offers custom design and production services for multiple viral types to the national research community and other stakeholders.
A portal to the Mouse Atlas of Gene Expression Project and Dissecting Gene Expression Networks in Mammalian Organogenesis Project. This Atlas will define the normal state for many tissues by determining, in a comprehensive and quantitative fashion, the number and identity of genes expressed throughout development. The resource will be comprehensive, quantitative, and publicly accessible, containing data on essentially all genes expressed throughout select stages of mouse development. Serial Analysis of Gene Expression (SAGE) is the gene expression methodology of choice for this work. Unlike expressed sequence tags (ESTs) and gene chip data, SAGE data are independent of prior gene discovery and are quantitative. Furthermore, SAGE data are digital, easily exchanged between laboratories for comparison and can be added to by scientists for years to come. Thus, this Atlas will include a data structure and data curation strategy that will facilitate the ongoing collection of gene expression data, even after the completion of this project. The Mouse Atlas project compromises 202 SAGE Libraries from 198 tissues. The list of libraries is available in a number of different groupings, including groups of libraries taken from specific tissue locations and libraries taken from specific developmental stages. Furthermore, this atlas will assemble gene expression profiles for a few focused experiments that will test hypotheses related to the techniques employed, tumor models and models of abnormal development. This will test the resource and provide quality control, validation and demonstrate applicability. Additionally, The Mammalian Organogenesis - Regulation by Gene Expression Networks (MORGEN) project will provide a complete, permanent, and accurate picture of mouse gene expression in the heart (atrioventricular canal and outflow tract), pancreas, and liver; new techniques to understand the interplay of proteins governing the expression of genes key to the development of these organ systems; and the identification of the master regulatory switches that control development of the tissues.
The Friedrich Miescher Institute is devoted to fundamental biomedical research aimed at understanding the basic molecular mechanisms of health and disease. We communicate and patent our findings to enable their translation into medical application. The FMI focuses on the fields of Epigenetics, Signaling & Cancer, and Neurobiology. In these fields, the FMI has gained international recognition as a center of excellence in innovative biomedical research. Training young scientists The Friedrich Miescher Institute contributes to the training of graduate students and postdoctoral fellows. Through its PhD program, which was established as early as 1970, the FMI attracts top international students. The FMI is affiliated with the University of Basel, where most of the graduate students are enrolled and where it contributes to the teaching program. Many FMI alumni have gone on to pursue successful careers in Novartis, in other pharmaceutical companies, or in academic research. Exciting environment for academic and applied research Staff at FMI benefit from a unique scientific environment, allowing researchers, specialists and students to pursue questions that yield new scientific insights. As part of the Novartis Research Foundation, the FMI receives strong core support from the foundation. Funding is supplemented by competitive fellowships and awards from national and international funding agencies. This provides an optimal environment for both academic and applied biomedical research.