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.
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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.
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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.
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The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.
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