yandell-lab.org valuation and analysis

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Title Yandell Lab
Description Yandell Lab Department of Human Genetics - University of Utah Home People Research Software Publications About Links Utah Contact Internal Welcome to the
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WebSite yandell-lab faviconyandell-lab.org
Host IP 162.241.216.173
Location United States
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yandell-lab.org Valuation
US$2,326,156
Last updated: 2023-05-13 09:03:24

yandell-lab.org has Semrush global rank of 4,550,128. yandell-lab.org has an estimated worth of US$ 2,326,156, based on its estimated Ads revenue. yandell-lab.org receives approximately 268,403 unique visitors each day. Its web server is located in United States, with IP address 162.241.216.173. According to SiteAdvisor, yandell-lab.org is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$2,326,156
Daily Ads Revenue US$2,148
Monthly Ads Revenue US$64,417
Yearly Ads Revenue US$773,000
Daily Unique Visitors 17,894
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
yandell-lab.org. A 7199 IP: 162.241.216.173
yandell-lab.org. NS 86400 NS Record: ns1.bluehost.com.
yandell-lab.org. NS 86400 NS Record: ns2.bluehost.com.
yandell-lab.org. MX 14400 MX Record: 0 yandell-lab.org.
yandell-lab.org. TXT 14400 TXT Record: v=spf1 a mx ptr include:bluehost.com ?all
HtmlToTextCheckTime:2023-05-13 09:03:24
Yandell Lab Department of Human Genetics - University of Utah Home People Research Software Publications About Links Utah Contact Internal Welcome to the Yandell Lab located in the Eccles Institute of Human Genetics on the Campus of the University of Utah’s Health Sciences Center. Current Research in the Yandell Lab: Sequenced genomes contain a treasure trove of information about how genes function and evolve. Getting at this information, however, is challenging and requires novel approaches that combine computer science and experimental molecular biology. My lab works at the intersection of both domains, and research in our group can be summarized as follows: generate hypotheses concerning gene function and evolution by computational means, and then working with our collaborators we test these hypotheses at the bench. This is easier said than done, as serious barriers still exist to using sequenced genomes and their annotations as starting points for experimental work. Some of these
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