Connectivity Map. web mapping Examples of geovisualizations of global connectivity The ultimate objective of biomedical research is to connect human diseases with the genes that underlie them and drugs that treat them These are the questions the Connectivity Map project set.
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The data is used to find the functional connections between drugs, genes, and diseases through the transitory feature of common gene-expression changes. The Connectivity Map is a collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules and simple pattern-matching algorithms that together enable the discovery of decisive functional connections between drugs, genes, and diseases
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Here, we report more than a 1,000-fold scale-up of the CMap as part of the NIH LINCS Consortium, made possible by a new, low-cost, high-throughput reduced representation. But this remains a daunting task, and even the most inspired researchers still have to resort to laborious screens of genetic or chemical libraries. To build a Connectivity Map, the Broad brings together molecular biologists, genomics specialists, computational scientists, pharmacologists, chemists and chemical biologists, as well as expertise from across the breadth and depth of.
Data Center Network Map TulsaConnect. But this remains a daunting task, and even the most inspired researchers still have to resort to laborious screens of genetic or chemical libraries. The ultimate objective of biomedical research is to connect human diseases with the genes that underlie them and drugs that treat them
Data Center Network Map TulsaConnect. We demonstrate that this "Connectivity Map" resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs To date, CMap has generated a library containing over 1.5M gene expression profiles from ~5,000 small-molecule compounds, and ~3,000 genetic reagents, tested in multiple cell types