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Besides the genome-guided methods, the reads were used to perform de novo assembly, which can recover transcript fragments from regions missing in the genome assembly [ 29].
After quality control filtering and trimming adaptor sequences (see Methods), the reads were mapped to the Arabidopsis thaliana genome using the Arabidopsis genome annotation available at The Arabidopsis Information Resource (TAIR) v.10 (http://www.arabidopsis.org).org
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Composition-based annotation methods cluster the reads according to their GC content, codon usage and other oligonucleotide frequencies.
After cleaning the low-quality reads, we used a modified version of a previous published procedure (see Materials and methods) to assemble the reads for non-redundant consensus.
Then the authors described the numerous methods for the read mapping of RNA-seq data and alternative types of splicing prediction software.
This method assumes that the reads are correctly aligned and the nucleotide base calls are correct.
By coupling microchip electrophoresis with the method for the read out, the cost for the SNP detection is greatly reduced as the small sampling amount and the simplified process for the optimization of conditions.
Because the overlap graph method assumes similarities between the reads in sequence assembly, it is able to eliminate heterozygous bases.
Our barcoding method led to 69% of the reads obtained being assigned to samples.
Therefore, an efficient method for increasing the read length from NGS should be valuable.
In our method, we circumvent the read normalization problem by analyzing the relative intensity ratio of successive calls across sequence reads.
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