Exact(1)
This strategy could complement the extraction of SSU-rDNA genes from PCR-free shotgun metagenomic datasets, and, within these less taxonomically biased datasets, ease the selection of SSU-rDNA genes with sequence similarities to (groups of) divergent V4.
Similar(59)
Many MapReduce framework based tools like Hadoop, Spark, and Flink are available to analyze huge datasets with ease.
Many MapReduce framework based tools like Hadoop, Spark, and Flink are available to analyze huge datasets with ease for different applications [28].
mapDamage 2.0 handles NGS datasets with ease and is compatible with a wide range of DNA library protocols.
Although the algorithms can deal with any type of time-sequence dataset, the following explanation involves a single acoustic dataset for ease of understanding. Figure 1 shows the flowchart for music boundary detection.
We might have expected greater resolution in this study, due to the exhaustive sample of the ingroup, extensive intraspecific sampling, large molecular dataset, and ease of species delimitation (the eight ingroup species include well-defined taxa that are morphologically, ecologically, phenologically, and generally geographically distinct).
The availability of standardized datasets should significantly ease the challenge of sourcing genomes faced by all providers of ortholog detection, and holds great promise for orthology inference benchmarking.
PCA can be applied to rule out outliers, to reduce our dataset (which can ease our work greatly in cases of big, complex datasets) and to build models that describe the behavior of a physical or chemical system and reveal any pattern in the data.
While here it was tested on a single plant species, the fact that we do not employ shape driven models and we do not rely on fully supervised classification (trained on a large dataset) increases the ease of deployment of the proposed solution for the study of different plant species in a variety of laboratory settings.
Ontology analysis of each co-expressed group of genes was performed using the DAVID ontology software as previously described [29], [30] using the whole genome as the background dataset and an EASE score < 10−3 considered highly enriched ontology groups.
A sire and maternal grandsire cumulative t-link model was applied to a calving ease dataset from 8847 Italian Piemontese first parity dams.
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