Difference between revisions of "What does Cuffdiff do?"
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| − | The cutdiff function finds any significant changes in transcript expression, splicing, and promoter use. | + | The cutdiff function finds any significant changes in transcript expression, splicing, and promoter use (Trapnell et al., 2010). Cuttdiff is an algorithm for transcript assembly that uses a statistical model to produce estimates of isoforms (functionally similar proteins with different amino acids) abundances. |
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| + | Where we compare the abundances of 2 samples and tell us which RNA reads are different. Ultimately gives us differential expression. | ||
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| + | what does it output? | ||
| + | Cufflinks | ||
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| + | what kind of files do we need? | ||
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| + | why would we use one over the other? | ||
| + | DEseq2 model varience across transcrips and works better for fewer | ||
| + | cuttdiff we need more replicates, not very good for lower number of replicates | ||
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| + | References: | ||
| + | Trapnell C. et al., 2010. Transcript assembly and quantification by RNA-Seq revels annotated transcripts and isoform switching during cell differentiation. Nat Biotechnol. 28(5):511-515. doi:10.1038/nbt.1621 | ||
Revision as of 16:00, 6 February 2018
The cutdiff function finds any significant changes in transcript expression, splicing, and promoter use (Trapnell et al., 2010). Cuttdiff is an algorithm for transcript assembly that uses a statistical model to produce estimates of isoforms (functionally similar proteins with different amino acids) abundances.
Where we compare the abundances of 2 samples and tell us which RNA reads are different. Ultimately gives us differential expression.
what does it output? Cufflinks
what kind of files do we need?
why would we use one over the other? DEseq2 model varience across transcrips and works better for fewer cuttdiff we need more replicates, not very good for lower number of replicates
References: Trapnell C. et al., 2010. Transcript assembly and quantification by RNA-Seq revels annotated transcripts and isoform switching during cell differentiation. Nat Biotechnol. 28(5):511-515. doi:10.1038/nbt.1621
