Does anyone think the peaks in non-coding region could be some bias or random events, rather than some potential ncRNA? BTW, the organism is prokaryotic. Thanks!
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Google "pervasive transcription."
I think there is far more "noise" in transcription than people give credit too. Of course there is far from any consensus on the matter.
RNA Polymerase II can have a lot of false starts, producing transcripts that may or may not be functional:
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It is extremely unlikely that the sequencer randomly comes up with a sequence that actually maps to your genome unless this sequence was actually in the sample. So, this is definitely not a technical proble -- the non-coding sequences were in your sample, and so they were also transcribed by your cells. (Alternatively, it could be genomic DNA that sneaked into your RNA sample.)
Why do you think that it makes a difference that your sample is prokaryotic?
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Thanks Simon. But based on my understanding, the "pervasive transcription" in the mammalian genomes include the transcribed regions outside coding gene, anti-sense RNAs and other non-coding RNAs. In other words, some intergenic regions just purely transcribed without turning into any functional product (non-coding RNAs, antisense RNAs). In the case of prokaryotes, I don't know for sure...Originally posted by Simon Anders View PostIt is extremely unlikely that the sequencer randomly comes up with a sequence that actually maps to your genome unless this sequence was actually in the sample. So, this is definitely not a technical proble -- the non-coding sequences were in your sample, and so they were also transcribed by your cells. (Alternatively, it could be genomic DNA that sneaked into your RNA sample.)
Why do you think that it makes a difference that your sample is prokaryotic?
Like you said, the small peaks in the intergenic regions could be genomic DNA. Or it could also be novel ncRNAs with low expression level. If it's the previous situation, I can consider it as a noise in my background, and include it into my negative set for training; but if it's the latter case, I should definitely exclude the peak region to train my negative set.
BTW, when I mapped the reads to the reference genome, I only kept the uniquely mapped reads with tolerance of 3 mismatches. The read length is 100nt. Therefore, I don't think the small peaks are mapping artifacts...
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Thanks chadn737, I think the paper you forwarded are very helpfulOriginally posted by chadn737 View PostGoogle "pervasive transcription."
I think there is far more "noise" in transcription than people give credit too. Of course there is far from any consensus on the matter.
RNA Polymerase II can have a lot of false starts, producing transcripts that may or may not be functional:
http://www.nature.com/nsmb/journal/v...b0207-103.html
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