Can you please do some videos on how to visualise somatic variants using plots and graphs ? thank you !! Or if anyone has any recommendations please let me know.
Hello I’m a molecular biology student and I would like to know if it’s possible to continue my phd studies in computational biology or bioinformatics. I don’t like working in lab. Do I need to get another master’s degree? (I already have an MS in Molecular biology)
@@PennytheBALLstar13 Diseases are complicated and usually has a hierarchical structure, e.g. diabetes or leukemia may have many subtypes, then which one is the one you want to study? Which sample should you select as control group? These aren’t typical skills that a bioinformatician will have. There are other things to consider, e.g. what if patients' survey data is not consistent with electronic medical records. How to query and clean the messy database? and more... Anyway, realistic phenotypes are much more than 0 and 1 encoding.
@@許博程-s9y No... I meant querying and parsing realistic phenotype data is generally a very challenging task for a bioinformatician, given the complication of diseases, and messiness of data.
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Loving this channel! Keep it up! Could you cover machine learning in genomics?
Thanks for share your enthusiast!
Wonderful video✌️
Nice explanation of what morden biology looks like.
Very excited to contribute more in the field.
Thank you for your work!
6:20 pangenomes
Love to see you again, thanks for the review!
Can you please do some videos on how to visualise somatic variants using plots and graphs ? thank you !! Or if anyone has any recommendations please let me know.
I think the alignment tools should be renewed after pan genome published~
What is best place to do a whole genome sequencing in your opinion?
Hello I’m a molecular biology student and I would like to know if it’s possible to continue my phd studies in computational biology or bioinformatics. I don’t like working in lab. Do I need to get another master’s degree? (I already have an MS in Molecular biology)
Myself is currently working on All of Us analysis, I would say phenotype data is probably the worst thing to deal with…
Why is that?
It’s laboring to collect in the greenhouse…Is that what you are talking about?
@@PennytheBALLstar13 Diseases are complicated and usually has a hierarchical structure, e.g. diabetes or leukemia may have many subtypes, then which one is the one you want to study? Which sample should you select as control group? These aren’t typical skills that a bioinformatician will have.
There are other things to consider, e.g. what if patients' survey data is not consistent with electronic medical records. How to query and clean the messy database? and more...
Anyway, realistic phenotypes are much more than 0 and 1 encoding.
@@許博程-s9y No... I meant querying and parsing realistic phenotype data is generally a very challenging task for a bioinformatician, given the complication of diseases, and messiness of data.
Thanks.
Hi Maria I’m a huge fan of your videos