Sentence examples for mutations we obtained from inspiring English sources

Of the eight mutations we obtained from the screen, only synMuv B genes were isolated.

(2) Set of disease-related mutations: We obtained a set of amino acid substitutions in human proteins with disease-association.

To assess the distribution of isolated mutations, we obtained a dataset largely devoid of kataegic mutations by expressing the deaminases in ungΔ cells.

Using a model weighted for human mutations, we obtained performance accuracies that outperformed traditional prediction methods SIFT, PolyPhen, and PANTHER on two separate benchmarks.

Using a model weighted for human mutations, we obtained performance accuracies that outperformed traditional prediction methods (i.e., SIFT, PolyPhen, and PANTHER) on two separate benchmarks.

In a large-scale ENU mutagenesis screen for definitive hematopoietic mutations, we obtained cas002, a novel mutant with severe hematopoietic defects and recessive lethality.

Inserting equations (1) and (3) in (2) and accounting for mutations, we obtain the following basic equation for the evolution of allele frequencies, ∂ p i ∂ t = − s γ i 2 2 p i q i (2 Δ c 1 γ i + q i − p i ) + μ (q i − p i ), i = 1, …, ℓ  , (4 where μ is the probability of (symmetric) mutation between the + and − allele at locus i.

If we approximate these expressions by the highest order term (i.e. the most rapidly growing exponential), representing the pool of cells with C−1 oncogenic mutations from which the new malignant lineages are drawn by one more mutation, we obtain several results (Supplementary Tables S1 and S2 and Figure 2).

Since the target mutation can, in turn, act as interfering mutation, we obtain an approximate, self-consistent summation of interference interactions between all co-occurring mutations.

To explore the somatic mutation patterns, we obtained the somatic mutations from Supplementary Table 2 published by one Pan-Cancer analysis of TCGA project [ 23].

By normalizing the link weight between cancers based on the cancer's mutation rate, we obtained a clustering less influenced by the number of mutations occurring within each cancer.