For major sequencing projects one of the most labour intensive and slowest parts of the process is in resolving disagreements between readings and making the corresponding edits. Generally such projects use sequencing machines and ambiguities are resolved by skilled staff comparing the traces from the conflicting readings. When all the editing is completed the program will produce a consensus sequence by counting the number of each of the four base types occurring at each position. Roughly speaking, the character put in the consensus for any position will be the one appearing most frequently in the readings covering that point. If the most common base is not in sufficient majority over the other base types a dash will be put in the consensus. This meant that incorrect bases had to be changed in order to give the correct consensus. This is a key point: IT IS THE POOR DATA THAT TAKES UP THE MAJORITY OF THE TIME. Hence we needed a new method that addressed the places where most time was employed and which corrected this apparent absurdity.