I've just had a very weird MiSeq run pop up, and there are really several things that could be wrong with it - low diversity library, V2 kit (expired), and likely drastically underloaded. The pass filter rate was just terrible. I've never seen the Q score trace look like this, though. Does anyone have any ideas? I'm just interested in getting a diagnosis at this point....
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Given there's a bunch of bases that start with low Q-scores and continue with low Q-scores, I wonder if there's a particular tile on the flow cell that was dirty or otherwise gave bad data. On Basespace/SAV I'd go to the Flowcell Chart and select "Median Q-Score" and look at a handful of cycles to see if certain tiles are consistently giving lousy Q-scores. Also, don't forget to select 'Both Surfaces' (unless you used a nano flow cell in which case you only image one surface).
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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...-
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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...-
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