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among RPKM, DESeq, TMM and so on...
Which one do you prefer and why??!
Which one do you prefer and why??!
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Generally DESeq'2 method or TMM, depending on whether I'm using DESeq2 or edgeR (why? Because they're done by default and work fine). RPKM should never be used (there are many papers on this). Quantile normalization is also popular, though you wouldn't normally use that on count data (though you could use it in conjunction with limma). Generally you get the same results regardless of the method (except RPKM, which you should never use as a normalization method). -
Thank you, Devon Ryan. I usually use DESeq but I just saw a company provided their client RNA-seq data normalized by RPKM.Comment
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Please can someone solve this assignment by using Gauss elimination method (please write the procedure step by step so I could understand it). Thank you very much.
Update: if it is easy why wouldn't you do it?Comment
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@ithersam: I hope you realize that we have absolutely no clue what you're talking about. BTW, you should do your own assignments.Comment
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Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...04-04-2024, 04:25 PM -
Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...03-22-2024, 06:39 AM
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