If you do happen to perform such a comparison, please do post a link to it here and/or on biostars, since I expect many people would find it interesting.
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Why not download a real data set from NCBI and then randomly sample from that to derive pseudo-data sets of varying read depths? That way you would have an realistic baseline to compare to.Originally posted by Zimbobo View PostMichael Black, Ph.D.
ScitoVation LLC. RTP, N.C.Comment
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Note that the person you're replying to posted that ~4 years ago...Originally posted by mbblack View PostComment
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Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
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Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.
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