Sentence examples for based on overlap with from inspiring English sources

Reads mapping to unique genomic positions were sorted based on overlap with repetitive element genomic instances.

One of the major challenges in dealing with very short sequence reads is that they must be assembled into longer contigs based on overlap with other reads.

Thus in our comparisons of the functionality of conserved versus non-conserved sequences, we classified amplicons based on overlap with phastCons Placental Mammal Conserved Elements, 28-way Multiz Alignment intervals [ 41- 43].

While we observe an effect in all groups of cis-eQTLs (based on overlap with local-eQTLs), the greatest effect is in the cis-eQTLs identified in F1 only.

In H, the validation rate computed based on overlap with known true positives (Rajagopal et al. 2013) using just acetylations appears to be comparable to the set of three marks, H3K4me1, H3K4me3, and H3K27ac, whereas the misclassification rate appears to be within 1% of that using all 24 modifications.

We also compared the different scoring methods based on overlap with two independent sets of interactions that should be enriched for true positives: the Prolinks predictions and a recent set of binary interaction data derived from large-scale protein complementation assays (PCA) (Tarassov et al., 2008).

Indeed, 1737 out of 1854 stable nucleosomes containing H2A/H4R3me2s were classified at the first split, based on overlapping with greater than two deduplicated, H4K20me3 sequence reads (with a misclassification rate of only 1.67%).

Some elements were classified "potential Hostgene" in the computational analysis, based on characteristics of the DNA, not based on overlap analysis with predicted genes.

Apart from analyzing enrichment for GO annotations, we also performed a functional analysis based on overlap of our data with gene expression clusters in C. elegans, which originate from other published microarray data sets.

Estimated error rates are compared with previous methods based on overlap of datasets, including a recently available screen of yeast (Yu et al., 2008).

In this algorithm, a point cloud is iteratively transformed to fit another reference point cloud, based on overlapping areas with the same morphological features.