Sentence examples for using the qualitysnp program from inspiring English sources

Putative EST-SNPs were detected using the QualitySNP program.

SNP detection was performed with contigs of at least four sequences using the QualitySNP program (http://www.bioinformatics.nl/tools/snpweb/).nl/tools/snpweb/

Using the QualitySNP program, we identified 33,433 high quality SNPs and 6,820 indels within 14,613 CAP3-assembled contigs (Fig 3).

We evaluated the structure of Coffea contigs to identify the percentage of coding sequences (CDS) in our dataset using the QualitySNP program tools [ 24].

CAP3 program was used to assembly sequences into 20 934 contigs and 40 810 singlets with an average size of 4.005 sequences per contig under default parameter, among which putative SNPs were detected in 789 contigs using the QualitySNP program.

Potential SNPs were detected using the QualitySNP program [ 36], which employs a haplotype-based strategy to detect reliable SNPs without requiring sequence traces, quality scores, or genomic sequence data.

Using the QualitySNP programme, putative SNPs were identified in the assembled contigs that were covered by at least four reads and had at least two reads for each allele.

SNPs were detected in silico and quality checked using the QualitySNP pipeline, as reported in Argout et al. and in ESTtik (http://esttik.cirad.fr).fr

Haplotype-based SNPs were mined from ESTs of the 27 citrus cultivars and 3 groups (M12 – 12 mandarins, L7 – 7 limes/lemons, and C27 – all 27 combined) using the QualitySNP pipeline and summarized in detail (Additional file 1).

ESTs were searched for SNPs using the QualitySNP pipeline [ 8] in each of the 27 cultivars and in three cultivar groups, 12 mandarins (M12), 7 limes/lemons/citron (L7), and all 27 cultivars (C27).

Statistics were performed using the STATISTICA program.