S7 Table
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چکیده
Yes. RNA-seq can be used to quantify transcript levels from a sample. In order to perform useful statistics, one sample is insufficient. Replicates must be used to appropriately power such statistics. The RNA-seq method is an impressive advancement with many applications for studying RNA biology but it does not eliminate biological variability. If the input samples are heavily degraded or have very low input amounts it may also be advisable to include certain types of technical replicates (e.g., making multiple libraries from each sample). Some studies have shown that for differential expression analysis, use of additional biological replicates holds greater value than greater depth once you achieve 10M reads per samples [277]
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3 DFT Results S7 Figure S2. Computed molecules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S7 3.1 [{PC•(sp2)P}tBuPdI] (4) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S7 Table S1. Optimized coordinates for [{PC•(sp2)P}tBuPdI] (4) . . . . . . . . . . . . . . . . . . . . . . . S7 Figure S3. Overlaid structures for [{PC•(sp2)P}...
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