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In the last step, some intrascaffold gaps were filled by local assembly using the reads in a read-pair, where one end uniquely aligned to a contig, while the other end was located within the gap.
Some intra-scaffold gaps were filled by local assembly using the reads in a read-pair where one end was uniquely mapped to a contig whereas the other end was located within a gap.
Abundance for each transcript was calculated using the reads per kilobase per million (RPKM) [ 64].
Reads can also be filtered using the reads flag present in the BAM file.
Using the reads from Illumina sequenced liver and gill samples we isolated tissue-specific expression profiles (Table 3).
A third assembly (L1L2) was completed using the reads from both libraries to avoid sequence redundancy when developing SSR markers.
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The raw intensities were loaded into the LIMMA [51] package (version 2.12.0) of Bioconductor [52] using the read.maimages function.
Rather, we estimate copy number state using the read count ratio after the CNV is detected.
A novel probabilistic model was developed to identify and quantify genomes using the read mapping approach.
Tab-delimited.txt files are imported into R using the read.table function.
Using the read data, we ascertained SNPs using a novel de novo assembly approach outlined in Ahiska (2011).
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