Here, we focus on the tree graphs and evaluate the newly founded RNAs since 2011, which also support our refined predictions of RNA-like motifs.
Results: In this article, we tackle the problem of assembling highly repetitive regions by developing a novel algorithm that iteratively extends long paths through a series of read-overlap graphs and evaluates them based on a statistical framework.
The second major category of systems is graph-based, which model both RDF data and the SPARQL query as a graph and evaluate the query by subgraph matching using homomorphism, e.g., [3, 34, 38, 39].
Throughout the module, students collect, graph, and evaluate data and may discover mutations that lead to novel insight regarding genome maintenance pathways in eukaryotes.
An interesting analysis is to rank GO categories by descendent scores, in both up and down-regulated sub-graphs, and evaluate if there is any dominant direction of regulation.
In addition to partitioning the graph and evaluating the edge density of each cluster, we can also search for dense components directly by enumerating maximum cliques and finding k-cores.
The circuits were evaluated using radial/spider graphs, and were evaluated based on the metric indices of efficiency, capacity, quality, economics and environmental impact.
Statistical significance was defined as p < 0.05. A. M. F. oversaw the CSF studies, performed some of the CSF analyses, created the final dataset and graphs, evaluated and interpreted the data and wrote the paper.
Therefore we have designed and evaluated graph partitioning algorithms that allocate software components to machines in the cloud while minimizing the required bandwidth.
We represent the electronic components by graphs and we evaluate, on one hand, different structures useful to encode a set of graphs, and on the other hand, indexing structures for fast querying of these graphs.
To further understand how SNP-pair compatibility probabilities depend on primer selection criteria, we randomized these criteria and evaluated the resulting graph density for 50 SNPs randomly chosen from human chromosome 21.
