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The detection of the functional defect that is brought about by the disease-causing mutation is essential for the understanding of the pathology.
Despite some simplifications (a nine-base-long DNA strand to represent a genotype, or the tight link between genotype and phenotype) and some omissions (e.g., the role of different RNAs in transcription and translation, the role of natural selection), the simulation shows how the random nature of mutation is essential for the generation of diversity at different organismal levels.
We believe that we have shown that mutation is essential for the evolution of reproductive isolation though selection, particularly deleterious epistatic selection, is necessary.
Although p53 inactivation pathways are not detected in every tumour, our study supports the hypothesis that p53 inactivation, either by binding to cellular or viral proteins or by mutation, is essential in the development of cervical carcinomas.
However, for some specific applications, such as the discovery of mutations in viral genomes, mappers such as Bowtie2, segemehl, and SHRiMP2 with strong robustness could be used because accurate mapping of the maximum number of reads, especially the few that bear the mutation, is essential [ 28].
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In the current study, functional characterization of the KCNK17 gene mutation was essential to prove that it may modulate the pathogenic impact on top of the bona fide SCN5A mutation.
Highly sensitive and selective detection strategy for single-base mutations is essential for risk assessment of malignancy and disease prognosis.
The identification of tumor mutations is essential for the layout of a calculated chemotherapy.
Continued surveillance for the emergence of viruses with significant mutations is essential.
Therefore the ability to curb the accumulation of deleterious mutations is essential for long-term population viability.
Detecting functional interactions between mutations is essential for this classification.
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