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We tested this approach on simulated datasets consisting of reads from one genome and the results are promising longer genes are assembled and more intact genes are retrieved, and there are almost no misassembled genes.
The assembly of a smaller dataset consisting of reads from 30 EColi strains showed that the contigs obtainable through co-assembly of related strains are considerably shorter than those generated using isolate assemblies.
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ChIP-seq will generally have two intermediate steps consisting of read mapping and peak calling.
In the first stage we create read sets that consist of reads selected from multiple clones that are contained within subregions smaller than a clone length.
Size distribution analysis showed that both the matched and unmatched categories predominantly consisted of reads approximately 22 23 nt in length (Fig. 1b).
About 50% of isotigs consist of reads from the single treatment groups c, m, or s.
These consisted of reads that we tentatively identify as belonging to 21U, 22G, and 26G classes.
The raw data consist of reads assigned to different libraries according to their barcodes.
Each group only consists of reads which are sampled from the same genome.
The second peak occurred at 30 33 nt and consisted of reads mapping to tRNA genes.
Set #3 consisted of reads enriched in full-length (FL) cDNAs.
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