Sentence examples for average alignment rate from inspiring English sources

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Using Bowtie 2 (Langmead and Salzberg 2012), reads were aligned to the reference genome sequence UMD 3.1 with an average alignment rate of 97.6%, that covered 99.23% of the genome (supplementary table S1, Supplementary Material online).

The average alignment rate was 0.89 (s.d. 0.02) and 0.86 (s.d. 0.03) for human and mouse, respectively.

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On average, 26 million reads were aligned per sample with a mean alignment rate of 97%.

Sequencing samples have an average depth of 9.75 million reads, with an average transcriptome alignment rate of 49% (Table S1).

On average, 36 million uniquely aligned reads were obtained per data set, representing an average unique alignment rate of 76%.

Mapping all RNA-seq reads against both transcriptomes (CLC or Velvet/Oases) revealed that the overall mapping success rate, as a measure for assembly quality, was significantly lower for the Velvet/Oases assembly compared to the CLC assembly (see Additional file 1), with an average overall alignment rate of 91.7 % and 73.4 % for the CLC and Velvet/Oases assembly, respectively.

The overall alignment rate of reads to the reference sequence was 97.6% with an average read depth of 12.0× (8.77× to 14.77×).

We retained alignments with an alignment rate of more than 70% and a mapping identity of more than 40%.

Computational performance shows an average alignment time of 2.5 s.

Examples of alignments are presented in Figure 4. Table 10 Average alignment errors for different sets of singing-adapted models.

The average alignment length was 552.8 nt.

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