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. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: J Am Soc Mass Spectrom. 2016 Aug 25;27(11):1745–1751. doi: 10.1007/s13361-016-1465-2

Figure 1.

Figure 1

(a) Schematic illustration of the functionality of a genetic algorithm. The genetic operations are highlighted in the grey box. Adapted from [17]. (b) Illustration of a “crossover” event for transition selection. Each “chromosome” contains a set of “genes” (transitions). Here, the cyan chromosome “crosses over” in several places with the purple chromosome, recombining their “genes” to form 2 new chromosomes. The contributions of the original chromosomes can be seen from their backbone color in the new chromosomes. In this context, chromosomes are just proxies for sets of transitions to be evaluated for goodness of fit in comparing PRM to DIA data.