Discover and read the best of Twitter Threads about #cancerGenomics
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Finally the second chapter of my #PhD #thesis is out 💪🥳
> 1 year after thesis submission!
Thanks so much 🙏 to my co-authors @CFlensburg @ianjmajewski and Terry Speed for their persistence and support!
(thread 👇) #RNAseq #CancerGenomics #mutations
bmcbioinformatics.biomedcentral.com/articles/10.11…
> 1 year after thesis submission!
Thanks so much 🙏 to my co-authors @CFlensburg @ianjmajewski and Terry Speed for their persistence and support!
(thread 👇) #RNAseq #CancerGenomics #mutations
bmcbioinformatics.biomedcentral.com/articles/10.11…
Our goal was to decide on the library size needed to sequence a cohort of ~90 in-house Leukaemia RNA-Seq samples to allow good sensitivity for both DE analyses and mutation calling.
We used publicly available deeply sequenced RNA-Seq samples (from Leucegene) from the same cancer type and called mutations using 6 methods (combinations of 3 popular callers and filtering methods).
We called mutations on the initial and randomly downsampled data.
We called mutations on the initial and randomly downsampled data.
It's time for our end of the year #countdown of favorite #cancerGenomics papers of 2019 according to our followers:
#10:
#9:
