Sentence examples for based on sequence counts from inspiring English sources

The sequence variations within a variety (or cultivar and subspecies), often discovered by high-coverage sequencing, can be separated into major and minor intravarietal genotypes within a chloroplast or mitochondrial genome assembly based on sequence counts.

To determine the relationship between airway bacterial communities and the impact of smoking, Euclidean distances were calculated based on sequence counts for each genus at all airway sites and used to perform hierarchical clustering.

Therefore, differentially expressed miRNAs between different time points and 0 hr in control cells were analyzed using DEseq, an R/Bioconductor package [ 29] method to compare differential expression based on sequence counts.

Similarity based on sequence counts after high-throughput sequencing revealed high proximity between the lesions studied (80% for MS 1, 90% for MS 2, and 82% for MS 3).

The similarity based on sequence counts is presented in Figure 2. As concluded from the CDR3 spectratyping comparison, the CSF repertoire is closer to the lesion repertoire than the blood one (median % similarity: 82%, 44%and10%0% for CSF, blood CD8+, and blood CD4+ T cells, respectively).

The sequence data reveal a very broad range of expression levels for known miRNAs (based on sequence counts): ~6% of miRNAs were detected at high sequence counts (>10), 14% were in the intermediate range 10-100), and the remaining were at low sequence counts (<100) (Additional File 3).

Peaks were ranked based on sequence tag counts.

Given that a known quantity of each organism was mixed in the metagenomic simulation, we next investigated whether estimates of organism relative abundance based on sequencing read counts would match the predicted abundance given the way in which our sample was created.

Based on sequencing read counts, 3 to 9% of overall reads were chloroplastic DNA and no nuclear DNA was detected.

edgeR was also used to correct for sample-specific variation, normalizing the data based on sequencing depth (total read counts per sample) and RNA composition (weighted trimmed mean of log expression ratios -TMM).

Matching scores based on individual sequences count the number of individuals from Namibe with at least one match in a given African region.