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Are there any tools out there that would convert a SAM/BAM file to a gapped multiple sequence alignment of the reads and the reference? I am looking for a text formatted output (like fasta) of this rather than a vizualization tool.
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It is a non trivial task since the SAM/BAM format isn't a multiple sequence alignment but a collection of pairwise alignments to the reference. The problem comes with conflicting inserts.
e.g. Suppose the first insert is between columns 10 and 11. Most reads say there is no insert here, one read says there should a A, another says AT, a third ATG and a forth says TG. How do you align that? Maybe:
--- (most reads)
A--
AT-
ATG
-TG
That was a fairly easy example - but what if there was another group of reads with an insert of C at this point?
My point is the conversion would require doing this kind of realignment for every insert. -
This is why SAM has a "P" operation, but for now few use that.Comment
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I understand that this is non-trivial and choices have to be made. I was wondering if a trivial converter that mostly assumes single-base insertions and makes the most obvious choices for a multi-base insertions was available.
Are there any aligners present that provide the padding information?Comment
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I had some code that performed a column wise "samtools pileup", so insertions would get their own rows in the output rather than shoehorning them into the same line via +seq. It needs some tidying up as it's no longer so standalone (it's part of my BAM reading code in Gap5), but could be made so again if it's useful.Originally posted by query View Post
As others have pointed out this is only half the problem though. It's not going to get your data aligned better and put P CIGAR operators in. I'm not aware of tools to automatically do this, but I'm sure some must exist.Comment
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I would also like to obtain "alignments" from SAM/BAM. Since the samtools tview allows to view the alignment it should be possible to obtain these "alignments" in text format, no ?Comment
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SAM/BAM Learning
Hi,
Can anyone help me in learning SAM/BAM and PileUp? Any tutorial avalable for self study?
HimaHima Raman
Università Milano Bicocca
Dip. medicina clinica e prevenzione
via Cadore, 48
20052 Monza (MB)Comment
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Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
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With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...05-22-2026, 06:42 AM
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