I used tophat cufflinks and cuffdiff to analysis my mRNA sequencing data, I am confused about the gene expression value. We have 7 samples in my expreiment, I can used cufflinks to produce every gene's expression value(FPKM) in each stage , and I can also used cuffdiff to get the gene's expression value by running cuffdiff with 7 samples together. But the gene's expression value produced by cufflinks and cuffdiff is not the same, so could you give me a instruction about that. Thank you.
Unconfigured Ad
Collapse
X
-
Tags: None
-
I'm not the author of this package, but probably part of the difference can be explained by the fact that cuffdiff uses data from all replicates to estimate some parameters (e.g. count variance) and also might apply normalization if selected. The latest version of cuffdiff allows to export both per-sample FPKM and per-sample read counts for each gene. I would probably prefer those to the cufflinks output which is based solely on the data of individual samples.Originally posted by xiongdianguang View Post... But the gene's expression value produced by cufflinks and cuffdiff is not the same, so could you give me a instruction about that. Thank you.
-
Hi hilmarberher,
That i want to ask you,i am also confused about the gene's expression value produced by cufflinks and cuffdiff.there have different gene's expression value ,I don't know which one should i used to analysis further.
Comment
Latest Articles
Collapse
-
by SEQadmin2
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?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...-
Channel: Articles
10-14-2026, 09:55 AM -
-
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, 10-22-2026, 11:13 AM
|
0 responses
23 views
0 reactions
|
Last Post
by SEQadmin2
10-22-2026, 11:13 AM
|
||
|
Started by SEQadmin2, 10-22-2026, 10:48 AM
|
0 responses
20 views
0 reactions
|
Last Post
by SEQadmin2
10-22-2026, 10:48 AM
|
||
|
Started by SEQadmin2, 10-15-2026, 10:52 AM
|
0 responses
36 views
0 reactions
|
Last Post
by SEQadmin2
10-15-2026, 10:52 AM
|
||
|
Started by SEQadmin2, 10-14-2026, 05:39 AM
|
0 responses
42 views
0 reactions
|
Last Post
by SEQadmin2
10-14-2026, 05:39 AM
|
Comment