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Thread | Thread Starter | Forum | Replies | Last Post |
[NGS - analysis of gene expression data] Machine Learning + RNAseq data | Chuckytah | Bioinformatics | 7 | 03-05-2012 04:16 AM |
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#1 |
Junior Member
Location: Copenhagen Join Date: May 2012
Posts: 1
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Hi all,
I have tried to browse the SEQanswers forum for my specific question but could not find anything (which does not mean it does not exist...). I am currently working on an RNASeq experiment involving prokaryotic organisms with partly finished/annotated genomes. Davis McC (http://seqanswers.com/forums/archive...hp/t-5248.html) has made a very good attempt summarizing the basic steps in RNAseq analysis, but as far as I understood he was describing the analysis for eukaryotes. Now my question is whether I can employ the same tools, i.e.: 1) Get short reads 2) Map reads against a reference with a short-read aligner like "bwa". 3) Summarize reads using "Rsamtools" in R. This is where I got stuck, I am not sure how to perform this basic operation- any suggestions ? 4) Calculate differential gene expression using an R-based package such as "edgeR" or "DSeq" (I have not tried this either, hints ?) 5) Perform gene-ontology category testing on differentially expressed genes using a package such as "goseq" I hope I got these very basic steps right and would be greatful for any hints, tips & tricks, experiences using the abovementioned programs on prokaryotes. Thanks for your help and time ! Cheers Lars |
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Tags |
microbial, prokaryotes, rnaseq |
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