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Actual performance parameters may vary based on sample type, sample quality and clusters passing filter.
Lane-specific sequencing quality parameters (cluster density, percentage of clusters passing filter, total number or reads passing filter and percentage of bases with quality ≥ Q30).
Cluster density explained much of the variability in yield, quality score, error rate, and % reads passing filter.
A median of 4.5 million reads was obtained for each sample, with 98% of them passing filter and 76% aligning to the reference genome.
Across the three libraries, 96%% of reads met the Illumina Passing Filter (PF) quality threshold.
DNA samples were indexed, and 500 cycles of sequencing performed on an Illumina MiSeq (Reagent kit v2), generating ~800,000 clusters, 89% passing filter, and 7Gb data.
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Approximately 87.9% of clusters passed filtering.
High pass filter.
See also band-pass filter.
**A high-pass filter removes low freqs.
Implemented convolution algorithms are sobel filter for edge detection, low pass filter and high pass filter.
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