imp princeton.edu

IMP Integrative Multi-species Prediction

The functional gene network. Analyze your experimental results in the functional context of gene-gene networks from multiple organisms. Use IMP to direct additional functional experiments by identifying novel gene participants in a pathway or additional processes that a gene of interest participates in. Functional networks integrating 3,741. Genome-scale datasets for 7. Diseases and 12,117. Has been updated for IMP 2.0. Save your custom gene sets. Tadych A, Troyanskaya OG. Troyanskaya Laboratory - Prince.
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Laboratory for Bioinformatics and Functional Genomics Laboratory for Bioinformatics and Functional Genomics

Laboratory for Bioinformatics and Functional Genomics. In our research, we combine computational methods with an experimental component in a unified effort to develop comprehensive descriptions of genetic systems of cellular controls, including those whose malfunctioning becomes the basis of genetic disorders, such as cancer, and others whose failure might produce developmental defects in model systems. Understanding multicellular function and disease with human tissue-specific networks.

Integrative Genomics Laboratory

Measure the shadow; infer the bike. We bring together large compendia of publicly available data to answer pressing questions in biology and medicine. New technologies allow researchers to extensively profile biological systems, and researchers have embraced these technologies. Anyone can download more than 1. 9 million genome-wide assays from Array Express. Keep up with our latest papers, grants, and webservers.

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IMP.PRINCETON.EDU SERVER

Our parsers found that the main page on imp.princeton.edu took two hundred and sixteen milliseconds to download. Our parsers could not observe a SSL certificate, so I consider imp.princeton.edu not secure.
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128.112.117.108

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We revealed that imp.princeton.edu is weilding the Apache/2.4.6 (Springdale Linux) mod_wsgi/3.4 Python/2.7.5 operating system.

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IMP Integrative Multi-species Prediction

DESCRIPTION

The functional gene network. Analyze your experimental results in the functional context of gene-gene networks from multiple organisms. Use IMP to direct additional functional experiments by identifying novel gene participants in a pathway or additional processes that a gene of interest participates in. Functional networks integrating 3,741. Genome-scale datasets for 7. Diseases and 12,117. Has been updated for IMP 2.0. Save your custom gene sets. Tadych A, Troyanskaya OG. Troyanskaya Laboratory - Prince.

PARSED CONTENT

The web site had the following on the homepage, "Analyze your experimental results in the functional context of gene-gene networks from multiple organisms." We noticed that the web site said " Use IMP to direct additional functional experiments by identifying novel gene participants in a pathway or additional processes that a gene of interest participates in." It also said " Functional networks integrating 3,741. Has been updated for IMP 2. Save your custom gene sets. Tadych A, Troyanskaya OG."

SEEK SIMILAR BUSINESSES

IMP - International Institute of Mathematical Physics

Institut International de Physique Mathematique.

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