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Designers using the system have access to multiple libraries with semantic building information.
Previously, the V. parahaemolyticus genome was sequenced by the Sanger method using multiple libraries with different insert sizes [ 21].
The χ 2 × 2 test, which was used in our studies, performed moderately well when applied repeatedly to the multiple libraries, with both one and two outliers.
Therefore performing manual DNA extraction or preparing multiple libraries with independent automated DNA extractions may result in more uniform sequencing and fewer missing values when the GBS method of Elshire et al. (2011) [ 37] is applied to linkage map construction.
Another drawback of REase-based approaches is that the distribution of REase recognition sites is variable within different genes, DNAs of different GC content, DNA regions and genomes [ 24], requiring the construction of multiple libraries with different enzymes.
Thus, multiple libraries with varying insert sizes and multiple SVDetect parameter settings may be necessary to discover the whole size range of translocations and other SVs (Medvedev et al. 2009).
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Unlike previous methods, we sequence successive multiple libraries prepared with standard protocols, take two reads in a pair of large-insert PE reads as a tag, cluster other PE reads that have one end overlapped with it as local reads group, and locally assemble them to fill in the inner gap of the large-insert PE reads.
The PAVE data management system uses a MySQL database to store multiple libraries of ESTs along with their metadata; the management system allows multiple assemblies with variations on libraries and parameters.
Differences in gene expression were estimated by EST frequency for genes with at least four ESTs present in the dataset using the web tool "Identifying Differentially Expressed Genes 6" (IDEG6; (http://telethon.bio.unipd.it/bioinfo/IDEG6_form/) [ 53] with the recommended chi-squared test for multiple library comparisons with a p-value cut-off of < 0.0001.
The PAVE system is created for large projects with multiple libraries.
We demonstrate that exSPA nder works well on single-cell datasets with multiple libraries.
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