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Dana Farber Cancer Institute - Center for Cancer Computational Biology

Dana Farber Cancer Institute - Center for Cancer Computational Biology is listed as an academic core research supplier in the Scientist.com network, with 1 site in 1 country.

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Sites 1
Countries 1

Services

What this research supplier says it provides, as listed in the Scientist.com network.

Type of company: Academic core

DNA & RNA

  • ChIP-Sequencing Use chromosome immunoprecipitation to identify DNA-protein binding sites in a genome.

General in vivo Toxicology

  • Mammalian Toxicology Use toxicity testing models to carry out required FDA or REACH safety testing.

Scientific Data Services

  • Cancer Systems Biology Convert complex molecular data obtained from high-throughput technologies to deducible information.
  • Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.

Source: Scientist.com supplier network

Where it operates

Sites by country, with the cities in each.

  • United States Boston 1 site

Source: Scientist.com supplier network (site locations)

About this supplier

In the supplier's own words, as listed in the Scientist.com network.

The Center for Cancer Computational Biology (CCCB) provides broad-based support for the analysis and interpretation of 'omic data. The center has two primary elements: Collection, management, analysis, and interpretation of large-scale data with a focus on data generated using 'omic technologies. In addition, the CCCB offers software, services, and training designed to assist investigators in advancing their research. Development of new methods for improving analysis and interpretation of genomic data through integration of diverse data types with the goal of creating open-source software...

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The Center for Cancer Computational Biology (CCCB) provides broad-based support for the analysis and interpretation of 'omic data. The center has two primary elements:

Collection, management, analysis, and interpretation of large-scale data with a focus on data generated using 'omic technologies. In addition, the CCCB offers software, services, and training designed to assist investigators in advancing their research.
Development of new methods for improving analysis and interpretation of genomic data through integration of diverse data types with the goal of creating open-source software tools to be made freely-available to the research community.

Website
cccb.dfci.harvard.edu

Source: Scientist.com supplier network, written by the supplier

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Sources: Scientist.com supplier network.

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