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Related Concept Videos

Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Compacting Factor test01:22

Compacting Factor test

The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...

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Related Experiment Video

Updated: May 11, 2026

In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses
12:23

In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses

Published on: September 7, 2022

Adaptive reference-free compression of sequence quality scores.

Lilian Janin1, Giovanna Rosone, Anthony J Cox

  • 1Computational Biology Group, Illumina Cambridge Ltd., Chesterford Research Park, Little Chesterford, Essex CB10 1XL, UK and Dipartimento di Matematica e Informatica, University of Palermo, Via Archirafi 34, 90123 Palermo, Italy.

Bioinformatics (Oxford, England)
|May 11, 2013
PubMed
Summary

This study introduces a novel method to compress DNA sequencing quality scores by leveraging read redundancy. This approach significantly reduces data size with minimal impact on variant calling accuracy.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Compression

Background:

  • DNA sequencing generates massive datasets, necessitating efficient data compression strategies.
  • Quality scores, crucial for variant calling, are often overlooked in compression efforts.
  • Existing methods may require a reference genome, limiting applicability.

Purpose of the Study:

  • To develop a reference-free method for compressing DNA sequencing quality scores.
  • To assess the impact of quality score compression on variant calling accuracy.
  • To enable efficient compression for diverse genomic applications, including metagenomics and de novo assembly.

Main Methods:

  • Utilizing the redundancy within DNA sequencing reads to predict base quality scores.
  • Aggregating reads into a compressed index.
  • Applying smoothing strategies to quality scores, compressing those with predictable values.

Main Results:

  • A conservative smoothing strategy achieved 1 bit per quality score compression with negligible impact on variant calling.
  • A more aggressive strategy yielded 0.68 bits per quality score compression, also with minimal effect on variant calling.
  • The method is reference-free, applicable to various sequencing data types.

Conclusions:

  • Reference-free compression of DNA sequencing quality scores is feasible and effective.
  • Significant data reduction can be achieved without compromising variant calling.
  • This method enhances the efficiency of handling large-scale genomic datasets.