Sentence examples for models with sequencing from inspiring English sources

The NB distribution is unarguably the most well suited distribution for read count data [ 24, 28] and, for this reason, our framework is inherently better suited for linking dynamic models with sequencing data than standard methods such as maximum likelihood fit via normal distribution.

The statistical framework that we develop to combine mathematical models with sequencing data is fully general and can be used to analyze any RNA-seq data given an adequate continuous-state dynamic model.

218, 395 408) give important limits on the use of current models with sequence data for studying ancient aspects of evolution; but they go too far in suggesting that several fundamental aspects of evolutionary theory cannot be tested in a normal scientific manner.

After performing a sequence similarity search using FFAS [2] we identified two potential search models, with sequence identities of 19% (2GMY) and 24% (2O4D).

This has led to the investigation of the dedifferentiation and genetic reprogramming associated with SE, using advances in gene technology and model species with sequenced genomes.

The majority were obtained from model species with sequenced genomes such as Medicago truncatula (635), Oryza sativa (581), Glycine max (362), Populus trichocarpa (234), Arabidopsis thaliana (291), Physcomitrella patens (229) and Arabidopsis lyrata (201).

Following our analysis, we tested our assumption that the probe effects were additive by verifying the linearity and normality of our additive model with sequencing data.

Our treatment of sequencing data is based on the negative binomial distribution that is also used in the state-of-the-art statistical data analysis methods and this approach enables us to integrate mathematical modeling with sequencing data in a natural way.

For model plant species with sequenced genomes, sequence reads can be mapped to the reference genome.

This is a useful approach for studying genome evolution between less well studied species and model plant species with sequenced genomes.

Hatami et al., [5] developed this model with sequence-dependent setup time for first stage machines.