Sentence examples for minimum variant frequencies from inspiring English sources

To determine the most appropriate settings for each dataset, SNP detection was conducted twice with minimum variant frequencies (mvf) of 10%and20%0%.

To classify whether mismatches were sequencing errors or genomic variations, parameters were set as follows: minimum depth, 30; minimum variant frequency, 35%; least mismatch count, 20; and homo/heterozygote fold change, 2. RAP-DB was utilized to locate the discovered SNPs.

SNP calling parameters were set to minimum coverage = 5, and minimum variant frequency = 0.2.

Minimum variant frequency was set to zero, to allow comparison with ShoRAH.

Sanger sequencing confirmed that none of the SNPs detected at a minimum variant frequency of 10-20% was real.

Under the criteria of minimum coverage (read depth) of four and the minimum variant frequency of two, the variations compared to the reference sequence were counted as SNPs.

Additionally, non-specific matches and broken pairs were ignored, and the program enforced a 20-fold minimum coverage threshold and 90% minimum variant frequency.

SNPs were identified using the Find Variations/SNPs option in Geneious by setting the minimum coverage parameter to 100 and minimum variant frequency parameter to 0.8.

As we were interested in identifying low-frequency true SNPs and associated false positives (errors), the minimum variant frequency parameter was set to zero.

More than 90% of the FP calls were eliminated by filtering with a coverage > 2 and a minimum variant frequency > 35% for the heterozygous SNPs identified by CLC.

The number of putative SNPs detected in reads of dataset 1 was 30 with a minimum variant frequency (mvf) of 10%, and 3 with mvf of 20%.