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How can I know that a shown de novo mutation is really a right positive de novo mutation?
How I can know that a shown de novo mutation is false positive?
How I can know that a shown de novo mutation is false positive?
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You can visualize it.
Often visualization of a region around a snp can give a good clue as to what's going on.
Some are "slam dunks", others are "well .. maybe" and others are "nope".
I suspect that attempts to make 99% accurate calling is frustrated by several things: repeats, homo-polymer runs, inaccurate reference, near duplicate regions, chemistry problems, etc. It takes a bit of practice, but a quick, but knowledgeable eye can spot some problems. -
cause
Because there is a terrible genetic problem in my case. Something biochemocally is going wrong in my body. There is a defective gene in my genome. Sbould be idemtified to success further in life. There os the possibility that a de novp mitation causes it.
I showed terroble gender atypical behavior when I was younger almost transsexuality. I also do look weird on class photos.
No doubt a genetic trouble is existing!Last edited by Mr.Zurich1992; 04-13-2016, 02:19 PM.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.
...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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