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The sequencing depth is directly correlated with cost. If abundant binders in large genomes have to be mapped with high sensitivity, costs are high as an enormously high number of sequence tags will be required. This is in contrast to ChIP-chip in which the costs are not correlated with sensitivity. [12] [13]
The term was coined by The Economist [3] and is named after author Rob Carlson. [1]Carlson curves illustrate the rapid (in some cases above exponential growth) decreases in cost, and increases in performance, of a variety of technologies, including DNA sequencing, DNA synthesis and a range of physical and computational tools used in protein production and in determining protein structures.
ChIP has also been applied for genome-wide analysis by combining with microarray technology (ChIP-on-chip) or second-generation DNA-sequencing technology (Chip-Sequencing). ChIP can also combine with paired-end tags sequencing in Chromatin Interaction Analysis using Paired End Tag sequencing (ChIA-PET), a technique developed for large-scale, de ...
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The ChIA-PET method combines ChIP-based methods, [2] and Chromosome conformation capture (3C) based methods, [3] to extend the capabilities of both approaches. ChIP-Sequencing (ChIP-Seq) is a popular method used to identify transciption factor binding sites (TFBS) while 3C has been used to identify long-range chromatin interactions.
Personal genomics or consumer genetics is the branch of genomics concerned with the sequencing, analysis and interpretation of the genome of an individual. The genotyping stage employs different techniques, including single-nucleotide polymorphism (SNP) analysis chips (typically 0.02% of the genome), or partial or full genome sequencing.
Image source: Getty Images. 1. Nvidia. As the biggest beneficiary of the AI boom to date, any sell-off in Nvidia (NASDAQ: NVDA) looks like a buying opportunity at this point. The company has seen ...
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