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Found 8 result(s)
TheCellVision.org is a freely available and web-accessible image visualization and data browsing tool that serves as a central repository for fluorescence microscopy images and associated quantitative data produced by high-content screening experiments. Currently, TheCellVision.org hosts images and associated analysis results from two published high- content screening (HCS) projects focused on the budding yeast Saccharomyces cerevisiae. TheCellVision.org allows users to access, visualize and explore fluorescence microscopy images, and to search, compare, and extract data related to subcellular compartment morphology, protein abundance, and localization. Each dataset can be queried independently or as part of a search across multiple datasets using the advanced search option. The website also hosts computational tools associated with the available datasets, which can be applied to other projects and cell systems, a feature we demonstrate using published images of mammalian cells. Providing access to HCS data through websites such as TheCellVision.org enables new discovery and independent re-analyses of imaging data."
TheCellMap.org serves as a central repository for storing and analyzing quantitative genetic interaction data produced by genome-scale Synthetic Genetic Array (SGA) experiments with the budding yeast Saccharomyces cerevisiae. In particular, TheCellMap.org allows users to easily access, visualize, explore, and functionally annotate genetic interactions, or to extract and reorganize subnetworks, using data-driven network layouts in an intuitive and interactive manner.
!!! >>> the repository is offline >>> !!! GOBASE is a taxonomically broad organelle genome database that organizes and integrates diverse data related to mitochondria and chloroplasts. GOBASE is currently expanding to include information on representative bacteria that are thought to be specifically related to the bacterial ancestors of mitochondria and chloroplasts
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Satellog is a database to identify and dynamically prioritize repeats by using various characteristics, for example, repeat unit, repeat length percentile rank, class, period, total length, genomic coordinates, UniGene polymorphism profile, proximity to or presence within gene regions, such as CDS, UTR, location upstream.
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GeneMANI helps you predict the function of your favourite genes and gene sets. GeneMania, a real-time multiple association network integration algorithm for predicting gene function.
Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Canadensys, operated from the Université de Montréal Biodiversity Centre, is a Canada-wide effort to unlock the biodiversity information held in biological collections.
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The National Air Pollution Surveillance (NAPS) Program provides accurate and long-term air quality data of a uniform standard across Canada. The NAPS Network has a Canada-Wide database of criteria air contaminants from the early 1970s to the present for designated NAPS sites, as well as provincial, territorial and other sites. Trace contaminants are also monitored at several stations in the network and analyzed by the laboratory at River Road.
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The Canadian VirusSeq Data Portal (CVDP) is an open-access data portal funded by Genome Canada. It is intended to facilitate access to Canadian SARS-CoV-2 sequences and associated non-sensitive metadata adhering to the FAIR Data principles. Limited contextual metadata and viral genome sequences can be shared among Canadian public health labs, researchers and other groups interested in accessing the data for surveillance, research, and innovation purposes. The CVDP will harmonize, validate, and automate submission to international databases and enable the creation of real-time dashboards that summarize the Canadian data contributions while facilitating exploration and access. Sequences or metadata submitted to the CVDP may not include data that could reveal the personal identity of the source. Its is part of Canadian COVID Genomics Network (CanCOGeN).