Hi all,
I am about to undertake a study investigating the gene expression differences between human twins using tissue from the pregnancy. I aim to quantify expression differences and hopefully allele-specific differences and splice variants between the individuals.
The abundance of transcripts differentially expressed is largely unknown and I was hoping for some input on calculating what sequencing depth I should be aiming for.
From trolling the literature I figure 8 gigabases of data per sample from 100bp paired-end Illumina Hi-seq run should give me more than enough data.
I also plan on running a 35bp single end library in addition to this for each sample for miRNA, etc.
Any thoughts, comments etc on how deep I should aim with the human transcriptome?
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The complexity of cancer is clearly demonstrated in the diverse ecosystem of the tumor microenvironment (TME). The TME is made up of numerous cell types and its development begins with the changes that happen during oncogenesis. “Genomic mutations, copy number changes, epigenetic alterations, and alternative gene expression occur to varying degrees within the affected tumor cells,” explained Andrea O’Hara, Ph.D., Strategic Technical Specialist at Azenta. “As...-
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