I'd love to chat.
I'd love to chat.
1. do you have a patreon or something where people can support you?
2. do you know how to obtain the nucleotide sequences of c-MYC?
3. have you seen machine learning applications that can predict protein function? specifically, the goal is to predict if protein X could participate in cleaving of DNA similar to CRISPR Cas9? false positives are okay, provided the negatives are accurate (i.e., guarantees protein cannot cleave DNA like Cas9).
Check:
https://www.ensembl.org/Homo_sapiens/Transcript/Summary?db=c...
This is the main transcript, the remaining 9 are in the table
for instance, how to obtain the nucleotide sequences for TP53, or for the NHN/RuvC domains of CRISPR Cas9?
thanks again for your help.
same site (ENSEMBL): https://www.ensembl.org/Homo_sapiens/Gene/Summary?db=core;g=...
also you can check human genes at GeneCards: https://www.genecards.org/
re other questions: The crucial thing is: what are your goals? Bioinformatics and cancer biology in particular are rather vast fields. Questions and answers make sense if you can place what you just got in some framework. And getting there is non-trivial, see i.e. +800pp book: https://www.amazon.com/Lewins-GENES-XII-Jocelyn-Krebs/dp/128...
is it possible to find nucleotide sequences from amplified c-MYC from cancerous tissue, either burkitt's lymphoma or TNBC?
ensembl is valuable, but it would be more efficient to hire someone to decode the different options. what type of researchers understand the different sequence options on an ensembl page: cancer biologist, geneticist, bioinformatics scientist?
thanks again for your help!
the goal is conducting some first-principles analysis of cancer, nothing fancy and very likely a waste of time.