Connectivity Map. Global Digital Connectivity Map Illuminated Network Data Points Stock We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs, and disease states are connected by virtue of common gene-expression signatures But this remains a daunting task, and even the most inspired researchers still have to resort to laborious screens of genetic or chemical libraries.
A map of functional connectivity in the brain computed with the support from www.researchgate.net
The ultimate objective of biomedical research is to connect human diseases with the genes that underlie them and drugs that treat them The Connectivity Map is the most comprehensive effort yet for using genomics in a drug-discovery framework
A map of functional connectivity in the brain computed with the support
摘要：Connectivity Map 是药物基因组学研究领域的重要数据库，是 计算生物学 和药物筛选研究人员做研究时不得不重视的数据库。 它不仅提供大量宝贵的药物处理人类细胞系前后的基因表达谱数据，而且也提供了基于 模式匹配算法 的在线工具，用户提交合适的基因列表就能得到该数据库中与之相关. We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs, and disease states are connected by virtue of common gene-expression signatures 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.
Worldwide Network Connection. Stock Vector Illustration of modern. 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 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.
Data Center Network Map TulsaConnect. The Broad Institute's Connectivity Map is a collection of genome-wide, transcriptional expression data from cultured human cells 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