Originally posted by carmeyeii
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Hi everyone!
I am analyzing some Illumina libraries that appear to have a lot of ribosomal RNA contamination.
I'm using Bowtie to align the reads only to a specific set of sequences, and because of the differing amount of rRNA contamination in each sample, each of them maps a different percentage of reads to the dataset (some half of what others map), ranging from 1% to 0.3%.
I wonder if the amount of rRNA contamination in the preparation of a library can have an impact on the apparent expression level of a gene -- even though one normalizes its counts agains the total number of reads that mapped.
What's your opinion in this subject?
Carmen
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Originally posted by shurjo View PostI usually align the raw data against a set of ribosomal sequences (and the mitochondrial genome) using ELAND, and use grep with the -v option to remove any reads that find a match. If you are using the standard Illumina pipeline you can configure Gerald to use ANALYSIS:eland_rna to do this automatically without having to do it step-by-step.
How do you configure the grep command so that it strips the sequence IDs that mapped to rRNA database, AND the following three lines that contain the sequence, the + and the quality string?
Thanks!
Carmen
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Reply to Ikim
You want to use the closest species you can find. Try the SILVA database: http://www.arb-silva.de/ - they have an extensive collection of small and large subunit sequences and a taxonomic browser to find what you need.
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Hello, was wondering how well conserved ribosomal RNA, and ribosomal proteins are? How relevant is it to use the Human ribosomal units for matching waterlily datasets for example?
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Here are the gi numbers for the ribosomal sequences, you can download them from Genbank.
gi|555853|gb|U13369.1|HSU1336 Human ribosomal DNA complete repeating unit
gi|23898|emb|X12811.1| Human 5S DNA
To this I would add the mitochondrial genome which you can get from the UCSC Genome Browser site (unless you are interested in mitochondrial gene expression)
HTH,
Shurjo
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Thanks for your reply, shurjo.
I am wondering where you get the set of ribosomal sequences (and the mitochondrial genome) from?
Did you make it yourself or download from somewhere?
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I usually align the raw data against a set of ribosomal sequences (and the mitochondrial genome) using ELAND, and use grep with the -v option to remove any reads that find a match. If you are using the standard Illumina pipeline you can configure Gerald to use ANALYSIS:eland_rna to do this automatically without having to do it step-by-step.
Leave a comment:
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