iccb-cologne.org valuation and analysis

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Title Home - Institute for Computational Cancer
Description Our lab develops and applies computational methods for understanding tumour heterogeneity and cancer
Keywords N/A
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WebSite iccb-cologne faviconiccb-cologne.org
Host IP 46.30.60.45
Location Germany
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iccb-cologne.org Valuation
US$1,194
Last updated: 2023-05-20 07:36:54

iccb-cologne.org has Semrush global rank of 0. iccb-cologne.org has an estimated worth of US$ 1,194, based on its estimated Ads revenue. iccb-cologne.org receives approximately 137 unique visitors each day. Its web server is located in Germany, with IP address 46.30.60.45. According to SiteAdvisor, iccb-cologne.org is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$1,194
Daily Ads Revenue US$1
Monthly Ads Revenue US$33
Yearly Ads Revenue US$396
Daily Unique Visitors 9
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
iccb-cologne.org. A 3600 IP: 46.30.60.45
iccb-cologne.org. NS 3600 NS Record: ns2a.dodns.net.
iccb-cologne.org. NS 3600 NS Record: ns1a.dodns.net.
iccb-cologne.org. MX 3600 MX Record: 10 mail.iccb-cologne.org.
HtmlToTextCheckTime:2023-05-20 07:36:54
Home News/Events Research Groups Schwarzlab Lehmann Lab Career Home News/Events Research Groups Schwarzlab Lehmann Lab Career Welcome Institute for Computational Cancer Biology Cancer Research Center Cologne Essen, University Hospital and University of Cologne. Learn more Mission and Goals Data science and algorithms for cancer research The Institute for Computational Cancer Biology (ICCB) at the University Hospital Cologne was founded in 2022 to advance cancer research through computational methods and to train and educate the next generation of computational cancer scientists. We are part of the Cancer Research Center Cologne Essen (CCCE) funded by the Ministry of Culture and Science of the State of North Rhine-Westphalia. Our mission is to develop bespoke statistical methods , machine learning approaches, algorithms and models to decipher tumour heterogeneity and cancer evolution and improve our understanding of the wealth of genomic, transcriptomic, epigenomic and imaging data
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