This highlights the importance of controlling for coverage bias when investigating sequencing data for applications such as RNA-Seq, CNV identification or whole genome sequencing.
In recent years, the availability of commercial platforms for high-throughput genome mapping (from, for example, OpGen [ 1], BioNano Genomics [ 2] and Nabsys [ 3] have increased the interest in using these technologies, in combination with high-throughput sequencing data, for applications such as structural variation analysis and genome assembly.
We introduce a heteronuclear dipolar decoupling sequence for application in solid-state nuclear magnetic resonance.
Thus, SIMMOL may be considered a "sample changer" to the SIMPSON "computer spectrometer" and proves to be very useful for the design and optimization of pulse sequences for application on uniformly or extensively isotope-labeled peptides where multiple-spin interactions need to be considered.
These data hint that single-blastomere sequencing for PGD applications may soon become reality.
Advances in high-throughput sequencing have enabled the adoption of sequencing for various applications in research and clinical diagnostics.
It is frequently necessary to perform parameter rescaling to achieve computational feasibility for parameter regimes of interest (e.g., N > 10 with long flanking sequences), particularly for applications such as approximate Bayesian computation that require millions of simulations for accurate inference.
The application of whole genome sequencing for genetic application has been slow on the uptake mainly due to cost, effort and resolution required.
However in the immediate future, with the development of massive sequencing systems for application at clinical diagnosis, it will be necessary to have clinical criteria to guide studies.
Short-read sequencing has replaced Sanger sequencing [1], [2] for applications involving long sequences such as chromosomes or whole genomes, and the availability of short-read sequencing has given rise to ambitious projects such as the 1000 genomes project (www.1000genomes.org), which is using the technology to generate a detailed map of the genetic variation in humans.
