• What will be the minimum number of biological replicates (plant samples) and how many biological replicates are needed for RNA-Seq using HIseq ?
Unconfigured Ad
Collapse
X
-
One more question about the "replicate" definition; if you have a cDNA from a biological sample (for a RNA-seq experiment) and you use it into two PCR reactions with different barcodes (like the one you do before the Illumina run), the barcode1 and barcode2 samples from the same cDNA can be considered as "replicates".
Suppose you want statistical power in your data, and you want to test differential gene expression in programs like DESeq (where it wants replicates to check the so called "shot-noise"); in this case, can they be considered good "replicates"?
Thanks
Comment
-
These are more like technical replicates to me...Originally posted by cascoamarillo View PostOne more question about the "replicate" definition; if you have a cDNA from a biological sample (for a RNA-seq experiment) and you use it into two PCR reactions with different barcodes (like the one you do before the Illumina run), the barcode1 and barcode2 samples from the same cDNA can be considered as "replicates".
Suppose you want statistical power in your data, and you want to test differential gene expression in programs like DESeq (where it wants replicates to check the so called "shot-noise"); in this case, can they be considered good "replicates"?
Thanks
Comment
-
Yes, these replicates are only testing the reproducibility of the sequencing protocol, which is extremely high. Biological reproducibility is what we're interested in. I would just pool the data from technical replicates as a single biological replicate.
Comment
-
I would do no less than three independent biological replicates (i.e. RNA isolated from separate biological samples) of each condition. You can get meaningful results from 2 biological reps, but you are really restricting yourself by doing this, particularly on a HiSeq where you can easily multiplex and still get a lot of reads per sample even on a single lane.
Comment
Latest Articles
Collapse
-
by SEQadmin2
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.
We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing...-
Channel: Articles
-
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, 09-29-2026, 09:51 AM
|
0 responses
43 views
0 reactions
|
Last Post
by SEQadmin2
09-29-2026, 09:51 AM
|
||
|
Started by SEQadmin2, 09-25-2026, 09:06 AM
|
0 responses
53 views
0 reactions
|
Last Post
by SEQadmin2
09-25-2026, 09:06 AM
|
||
|
Started by SEQadmin2, 09-23-2026, 11:05 AM
|
0 responses
43 views
0 reactions
|
Last Post
by SEQadmin2
09-23-2026, 11:05 AM
|
||
|
Started by SEQadmin2, 09-18-2026, 11:37 AM
|
1 response
51 views
0 reactions
|
Last Post
by pekgio
09-21-2026, 02:04 AM
|
Comment