Getting the number of Genes expressed in a sample
Hello Biostars Is it possible to get the information about the total number of genes expressed in one sample after RNAseq?
Thank you
rna-seq
• 1,699 views
•
link
written
by
Sreeraj Thamban
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
Plotting Results in EBSeq-HMM
written by Sreeraj ThambanHello Biostars, Is it possible to plot all genes belonging to one particular pattern in EBSeq-HMM results as a line graph?
-
Kallisto counts to Bayseq
written by Sreeraj ThambanHello Biostars, Is it possible to import Kallisto output to BaySeq? Which is the best way to do it? Thanks in advance
-
Time course experiment in RNASeq
written by Sreeraj ThambanHello Biostars, I have a time course experiment RNASeq data,one strain of bacteria and three time points 0h,1h,and3h. Which is the best method to identify …
-
Best tools for Visualing RNASeq data
written by Sreeraj ThambanHelloo biostars, I want visualise/plot the expression pattern of a set genes from my RNASeq data. Which are the best R packages or other softawares …
-
Generating heatmaps of pre-selected candidate genes after deseq2
written by Sreeraj ThambanHi biostars, Is it possible to make a heatmap for a preselected list of genes after deseq2 DGE analysis? I wanted to represent the log2FC …
-
Gene Set Enrichment Analysis after DESeq2
written by Sreeraj ThambanHello Biostars, Can anyone tell me how to prepare input data set for GSEA after Differential Gene Expression Analysis by DESeq2? How will I rank …
-
Classifying DEGs based on the tissue where it is expressed
written by Sreeraj ThambanHi, Biostars, I have a list of differentially expressed genes after RNASeq analysis. I wanted to classify them based on the tissue where they are …
-
Selecting Deferentially Expressed Genes in RNASeq data analysis - DESEq2 and Cuffdiff
written by Sreeraj ThambanHi all, During Differential gene expression analysis of RNASeq data (DESEq2 or Cufdiff) which is best method to filter differentially expressed genes? Should I go …
-
Validation of RNASeq Data - How to validate RNASeq DEGs using qPCR
written by Sreeraj ThambanHi, Biostars! Can anyone tell me how to validate the RNA-Seq Differential gene expression data using qPCR? How many genes should I select for qPCR …
-
Retrieving the gene list related to all GO ID
written by Sreeraj ThambanHi Biostars, I used topGO to do GO enrichment analysis for my list of interesting genes. After the run, I used the following script to …
If you have done Cufflinks you could see genes.fpkm_tracking file to count the number of gene and isoforms.fpkm_tracking file to see total number of transcripts
Hi sreeraj, your question is somewhat profound. How would you define an expressed gene? - is an expressed gene any transcript that simply returns count values after data normalisation? If that is the case, then qudrat's answer is sufficient (if using Cufflinks).
Getting expression values for a single sample is absolutely no problem with any of the count abundance tools that I know. You just need to define a cut-off for expressed / not expressed and clearly state this.
One area where your question has much validity is in the determination of gene expression in different tissues. For example, many genes are 'ubiquitously' expressed across most tissues, whereas others are only expressed in certain organs/tissues.
Hello Kevin, I was interested in the third part of your answer. Is it possible to get that information after cufflinks?
Thank you
You mean that you are interested in tissue-specific expression? projects like FANTOM5 have open access data on this, but there are other more recent projects (that I cannot remember right now). You may want to open a new question on that particular topic (i.e. tissue-specific expression).
On the other hand, if you are interested in defining a cut-off for expressed / not expressed, there is no defined or standardised cut-off. For raw counts, which Cufflinks does not produce, people sometimes use 5 counts as the cut-off, whereas it can also be 10. You may want to check the distribution of your counts to see how it looks, and then decide what the cut-off could be. There is no standardised way to do this.