Posts Tagged: WGA


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October Webinar Feature: Single cell analysis

Do you wonder what you might find if you narrowed your genomic and transcriptomic analyses down to the single-cell level? If you suppressed the noise from ten thousand other cells, what might an individual cell have to say? Single-cell analysis is a burgeoning area of interest, spurred by advances in sequencing technology. Down to the… Read article →


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New videos on single cell analysis

Whether you’re studying single cell genomics, circulating tumor cells or the microbiome, analyzing single cells creates the potential for a deeper understanding of cell heterogeneity. But several challenges stand in the way of this goal, such as allelic dropout, coverage uniformity and low yield. How can you overcome these? The single cell team at QIAGEN… Read article →


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Overcoming coverage bias in single-cell whole genome sequencing (WGS)

Whole genome sequencing starting from one individual cell requires a genomic DNA amplification step before the NGS library preparation. Even technologies like multiple displacement amplification (MDA), proven to be superior in genome coverage (2) and fidelity (3), are not completely bias-free. Uneven genomic coverage, in particular, directly impacts the sensitivity of variant detection in WGA-amplified single… Read article →


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Detection of chromosomal rearrangements

Recently in Nature, Cheng-Zhong Zhang and colleagues published a very interesting approach that provides the first direct experimental evidence for a mechanism leading to chromothripsis (1). What exactly is chromothripsis? Zhang’s publication piqued my interest to dig a bit deeper into this phenomenon. Chromothripsis is a kind of catastrophic mutational event that results in massive rearrangements… Read article →