Question: Redundant meta-features (genes) using FeatureCounts
0
gravatar for ccheung
4.8 years ago by
ccheung0
European Union
ccheung0 wrote:

Hi,

I'm completely new to RNASeq analysis so I'm having a lot of difficulties analyzing the data. First of all, I got some raw FeatureCount data, and there are multiple entries of the same meta-feature (gene) all with the same or very similar counts. What does this mean?  How do I combine them or remove them so that I only have data for one meta-feature (gene)?

Also, the raw data includes novel unannotated "genes". How do I remove these so that I can analyze only the annotated genes (ie. ones in Ensembl).

Any help or advice would be greatly appreciated. Thanx.

carol

featurecounts rna-seq • 1.0k views
ADD COMMENTlink modified 4.8 years ago • written 4.8 years ago by ccheung0

Hi Carol,

In order for us to help you, we will need more information. For example, how did you 'get some raw FeatureCount data'? It's best if you show the code you used, preferably cut down to just what's relevant to your question.

ADD REPLYlink written 4.8 years ago by James W. MacDonald51k
Answer: Redundant meta-features (genes) using FeatureCounts
0
gravatar for Gordon Smyth
4.8 years ago by
Gordon Smyth38k
Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
Gordon Smyth38k wrote:

When you say that you have FeatureCount data, do you mean mean that you have output from the featureCounts() function of the Rsubread package? If so, then the reason that you have multiple rows for the same gene is that your GFF file contains multiple meta-features for the same gene. For example, the meta-features might be Ensembl transcripts, and each gene may have several transcripts that contain almost the same exons.

ADD COMMENTlink modified 4.8 years ago • written 4.8 years ago by Gordon Smyth38k
Answer: Redundant meta-features (genes) using FeatureCounts
0
gravatar for ccheung
4.8 years ago by
ccheung0
European Union
ccheung0 wrote:

Thanx Gordon!

ADD COMMENTlink written 4.8 years ago by ccheung0
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