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I have 11 mpileups generated by novoalign from whole genome sequencing of Daphnia, which has a genome size of ~200MB. Each is the result of alignment of about 130M paired-end illumina reads. I find that all of the mpileups have about 110M lines, implying that we have info for about 55% of the reference. I want to quantify the degree of overlap in coverage among the mpileups. Is there an easy way to do this with samtools or something similar? Also, is there a way to construct an mpileup file that has a line for every site in the reference, rather than just those with read coverage?
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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.
...06-02-2026, 10:05 AM -
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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