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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Sanger Sequencing01:57

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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Maxam-Gilbert Sequencing01:05

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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
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High capacity DNA data storage with variable-length Oligonucleotides using repeat accumulate code and hybrid mapping.

Yixin Wang1, Md Noor-A-Rahim2, Jingyun Zhang3,4

  • 11School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, 639798 Singapore.

Journal of Biological Engineering
|December 14, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel DNA data storage system using variable-length oligonucleotides and a hybrid mapping scheme. The system achieves high information density and demonstrates error-free data retrieval, advancing practical DNA data storage solutions.

Keywords:
DNA data storageLong term data storageNext-generation information storage

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Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Data Storage

Background:

  • DNA offers high density and durable preservation for long-term data storage.
  • Existing DNA data storage methods face limitations in capacity and practical implementation.
  • There is a need for advanced coding systems to enhance DNA data storage capabilities.

Purpose of the Study:

  • To develop and implement a novel DNA data storage scheme with high information capacity.
  • To overcome limitations of current DNA data storage technologies.
  • To facilitate practical implementation of high-capacity DNA data storage.

Main Methods:

  • Devised a DNA data storage scheme utilizing variable-length oligonucleotides (oligos).
  • Introduced a hybrid DNA mapping scheme for digital-to-DNA data conversion.
  • Employed an oligo-level repeat-accumulate coding scheme for error correction.

Main Results:

  • Achieved an average information density of 1.98 bits per nucleotide (bits/nt), nearing the theoretical limit.
  • Demonstrated error-free retrieval of 379.1 KB of data with 10x coverage in wet-lab experiments.
  • Theoretical analysis showed a net information density of 1.67 bits/nt and 91% of theoretical information capacity.

Conclusions:

  • Proposed and tested a DNA data storage system with a high-potential mapping scheme.
  • Designed a low-redundancy, highly efficient error correction code.
  • The advancements contribute to realizing practical high-capacity DNA data storage systems.