Question: Cuffcompare Or Cuffmerge
gravatar for 杨继文
5.7 years ago by
杨继文210 wrote:
Hi all, I read one paper "Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks". They say the procedure for RNA-Seq analysis is Tophat-->cufflinks-->cuffmerge-->cuffdiff But what I normally do in Galaxy is Tophat-->cufflinks-->cuffcompare-->cuffdiff. I have six samples, which means I will generate 6 assembled transcript files by cufflinks. Then I run cuffcompare using all six assembled transcript files as input. The resulting "combined transcript" is the input for cufflinks. I don't know why I shoud use cuffmerge. Actually I don't understand the function of cuffmerge. Did I miss something?? Please let me know your opinions. Jiwen
rna-seq cuffmerge cufflinks • 3.9k views
ADD COMMENTlink modified 5.7 years ago by ericliaowei@gmail.com70 • written 5.7 years ago by 杨继文210
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5.7 years ago by
ericliaowei@gmail.com70 wrote:
Hi, JiWen I thought about this before, here is the answer from Cole Trapnell from Seqanswer website: " I can shed some light on this. We have an upcoming protocol paper that describes our recommended workflow for TopHat and Cufflinks that discusses some of these issues. As turnersd outlined, there are three strategies: 1) merge bams and assemble in a single run of Cufflinks 2) assemble each bam and cuffcompare them to get a combined.gtf 3) assemble each bam and cuffmerge them to get a merged.gtf All three options work a little differently depending on whether you're also trying to integrate reference transcripts from UCSC or another annotation source. #1 is quite different from #2 and #3, so I'll discuss its pros and cons first. The advantage here is simplicity of workflow. It's one Cufflinks run, so no need to worry about the details of the other programs. As turnersd mentions, you might also think this maximizes the accuracy of the resulting assembly, and that might be the case, but it also might not (for technical reasons that I don't want to get into right now). The disadvantage of this approach is that your computer might not be powerful enough to run it. More data and more isoforms means substantially more memory and running time. I haven't actually tried this on something like the human body map, but I would be very impressed and surprised if Cufflinks can deal with all of that on a machine owned by mere mortals. #2 and #3 are very similar - both are designed to gracefully merge full-length and partial transcript assemblies without ever merging transfrags that disagree on splicing structure. Consider two transfrags, A and B, each with a couple exons. If A and B overlap, and they don't disagree on splicing structure, we can (and according to Cufflinks' assembly philosophy, we should) merge them. The difference between Cuffcompare and Cuffmerge is that Cuffcompare will only merge them if A is "contained" in B, or vice versa. That is, only if one of the transfrags is essentially redundant. Otherwise, they both get included. Cuffmerge on the other hand, will merge them if they overlap, and agree on splicing, and are in the same orientiation. As turnersd noted, this is done by converting the transfrags into SAM alignments and running Cufflinks on them. The other thing that distinguishes these two options is how they deal with a reference annotation. You can read on our website how the Cufflinks Reference Annotation Based Transcript assembler (RABT) works. Cuffcompare doesn't do any RABT assembly, it just includes the reference annotation in the combined.gtf and discards partial transfrags that are contained and compatible with the reference. Cuffmerge actually runs RABT when you provide a reference, and this happens during the step where transfrags are converted into SAM alignments and assembled. We do this to improve quantification accuracy and reduce errors downstream. I should also say that Cuffmerge runs cuffcompare in order annotate the merged assembly with certain helpful features for use later on. So we recommend #3 for a number of reasons, because it is the closest in spirit to #1 while still being reasonably fast. For reasons that I don't want to get into here (pretty arcane details about the Cufflinks assembler) I also feel that option #3 is actually the most accurate in most experimental settings. " Hope this helps. Wei Liao Research Scientist, Brentwood Biomedical Research Institute 16111 Plummer St. Bldg 7, Rm D-122 North Hills, CA 91343 818-891-7711 ext 7645 Wei Liao Research Scientist, Brentwood Biomedical Research Institute 16111 Plummer St. Bldg 7, Rm D-122 North Hills, CA 91343 818-891-7711 ext 7645
ADD COMMENTlink written 5.7 years ago by ericliaowei@gmail.com70
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