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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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Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...04-04-2024, 04:25 PM -
Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...03-22-2024, 06:39 AM
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