Anyone aware of a tool that can convert a pileup file to BAM files.
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There must be an easier way to get what you want than resurrecting a bam from pileup. You could look at the files upstream of the pileup and see if they can be translated to bam format, or, on the other hand, go forward to create a vcf (or some other bed/gff file) from the pileup and annotate that.
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I find myself in this situation using legacy data (e.g., original sequencing files from an old project were lost but pileups are still available). I wanted to bump this thread to see if anyone has come up with a good solution to this problem- any utilities out there that can convert a pileup to a bam or something like it?
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You need to be more specific about the pileup format that is used. A text-based format like the output of 'samtools mpileup' would be easier to convert to SAM than a graphical image, for example. But even given the huge amount of information that could be extracted from 'samtools mpileup', it doesn't store everything. For example, the sequence names are not preserved, and no pairing information is retained.
Any pileup output which is nothing more than coverage values without linking between different bases will not be sufficient for generating a source SAM file.
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That's a good point- I'm talking about the text-based format, and the experiment was run single-end so pairing isn't important. It's true that I wouldn't have the original read names, but naively that doesn't seem very important- is there software that actually uses those, beyond for read pairing?
That said, I suppose that I hadn't considered whether the pileup format explicitly maintains the individual bases within reads. I had always assumed that the base calls at each position were ordered readwise, but it occurs to me that this may not be the case.
Anyway, it sounds like a tool to do this conversion probably doesn't exist. Thank you for your input.
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by GATTACATLove this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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by SEQadmin2
I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.
Here are nine questions we think about, in roughly the order they matter, before...-
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