The phrase "a set of mutations" is correct and usable in written English.
It can be used when referring to multiple changes or variations in a genetic context or other fields where mutations are relevant.
Example: "The researchers identified a set of mutations that contributed to the organism's resistance to disease."
Alternatives: "a collection of mutations" or "a group of mutations".
For the first time, researchers have decoded all the genes of a person with cancer and found a set of mutations that may have caused the disease or aided its progression.
We end by proposing a set of mutations altering the swapping propensities, whose experimental characterization would contribute to refine our in silico derived hypotheses.
These paths describe a set of mutations wherein the predicted expression pattern does not significantly vary at any point along the path.
"If a human could live long enough, it is inevitable that at least one of his or her cells would eventually accumulate a set of mutations sufficient for cancer to develop," explains a team of authors in Molecular Biology of the Cell.
Previously, we utilized a set of mutations that eliminated or reduced the individual contributions of TFIID and SAGA (as well as other regulators) to monitor changes in gene expression on a genome-wide scale in yeast [8], [9].
After clustering the genes into six groups based upon similar responses to a set of mutations (i.e., co-regulation), there were 360 (60×6) summarized data points, all of which needed to be reconciled in the context of a generalized gene regulation model.
Consider f j ∈F and Mf j a set of mutants generated from f j by applying a set of mutation operators MO.
The approach consists in mutating the inputs provided by probes to the controller, according to a set of mutation rules and a target system's changeload, and taking into account the stateful nature of the controller.
To achieve our goal, the approach defines a set of mutation rules that should be applied to the inputs of the controller, a tailored version of a classification of the different controller failure modes, and an experimental setup and testing procedure that is specific to self-adaptive systems.
Statistical enrichment of the specific functional links among a set of mutation pairs selected by the sequential approximation procedure was assessed using the standard hypergeometric test.
We examined the effects of Agrobacterium infection on five types of somatic mutations using a set of mutation detector lines of Arabidopsis thaliana.
