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Although these limitations have been previously suspected by many, the large scale "reference" data set provided by our study provides a more quantitative view of these limitations for the first time.
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Data from large scale reference networks extended with single-frequency receivers can now be processed, based on the adapted SEID model.
This is the first large-scale reference sequence data of C. komarovii, which enlarge the genomic resources of this species.
This is the first large-scale reference sequence data of C. komarovii, which enlarge the genomic resources of this species and will facilitate the further novel genes discovery research in C. komarovii.
The large scale duplications of the Arabidopsis genome have been extensively analyzed and documented ([ 64- 66] and references therein).
Sequencing centres, therefore, monitor sequencing success on a larger scale referencing overall pass rates and average read lengths, typically in terms of Phred 20 bases [ 2].
The construction of large-scale reference conceptual models is a complex engineering activity.
We devised a systematic method to generate so-called "pseudo-reference" clustering datasets which compensate for the lack of large-scale reference datasets.
The imputation of low-frequency and rare variants can be challenging compared with common alleles, and the availability of very large-scale reference panels can improve imputation performance.
The data that is currently being generated by large-scale reference metagenome projects, such as the Earth Microbiome Project [ 48] and the Gene Ocean Sampling [ 44], will offer a substantially higher sequencing depth and may therefore reveal additional classes and variants of qnr genes.
Until large-scale reference data became available, the attributes of the computational infrastructure were postulated by many, but have mostly remained unverified.
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