Collaboration and joint research Call: Recently we conducted studies on BRCA1, BRCA2, EGFR, and ESR1 mutations in cancer! Our computational approach identified potential pathogenic variations in these genes, increasing the risk of cancer development. However, with limited funds, instead of using sequencing, we intend to utilise ARMS-PCR for experimental validation. Notably, the predicted SNPs are not found in literature showing risk with cancer. How do we select and validate these SNPs for further investigation? Let's discuss strategies for bridging the gap between bioinformatics predictions and experimental validation in cancer research. hashtag#CancerResearch hashtag#BRCA1 hashtag#BRCA2 hashtag#ESR1 hashtag#EGFR hashtag#Bioinformatics hashtag#WetLabE
Hi Najeed
https://genome.ucsc.eduliterature are not always complete in regards to some databases. Did you have a look at the OMIM database to check your SNP? to help, you can also go to the UCSC genome browser (https://genome.ucsc.edu) applying the OMIM optional track.
all the best
fred
Dear Fred
Thank you for the response.
Let me try it.
I will get back to you.
UCSC is a powerful friend that can give you lot of tools around genomics and genetics. spending some times on its manipulation is not a waste, it's an investment
U're welcome.
fred
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