Evidence map›Paper›PMID 35788589›Full record

ArticleNPJ systems biology and applications2022

Adaptive coding for DNA storage with high storage density and low coverage.

Ben Cao, Xiaokang Zhang, Shuang Cui, Qiang Zhang

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Optimizing fountain codes for DNA data storage.Computational and structural biotechnology journal · 2024
    Article
  4. Article
  5. Article
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  10. Review
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  14. DBTRG: De Bruijn Trim rotation graph encoding for reliable DNA storage.Computational and structural biotechnology journal · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Hidden Addressing Encoding for DNA Storage.Frontiers in bioengineering and biotechnology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ben CaoSchool of Computer Science and Technology, Dalian University of Technology, 116024, Dalian, China.ORCID 0000-0003-1503-6009
Xiaokang ZhangSchool of Computer Science and Technology, Dalian University of Technology, 116024, Dalian, China.
Shuang CuiSchool of Computer Science and Technology, Dalian University of Technology, 116024, Dalian, China.
Qiang ZhangSchool of Computer Science and Technology, Dalian University of Technology, 116024, Dalian, China. zhangq@dlut.edu.cn.ORCID 0000-0003-3776-9799
Dalian University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of information technology has generated substantial data, which urgently requires new storage media and storage methods. DNA, as a storage medium with high density, high durability, and ultra-long storage time characteristics, is promising as a potential solution. However, DNA storage is still in its infancy and suffers from low space utilization of DNA strands, high read coverage, and poor coding coupling. Therefore, in this work, an adaptive coding DNA storage system is proposed to use different coding schemes for different coding region locations, and the method of adaptively generating coding constraint thresholds is used to optimize at the system level to ensure the efficient operation of each link. Images, videos, and PDF files of size 698 KB were stored in DNA using adaptive coding algorithms. The data were sequenced and losslessly decoded into raw data. Compared with previous work, the DNA storage system implemented by adaptive coding proposed in this paper has high storage density and low read coverage, which promotes the development of carbon-based storage systems.

Indexed as

DNAInformation Storage and RetrievalAlgorithmsBase SequenceDNA

Identifiers

PMID35788589
PMCPMC9253015
OpenAlexW4283796907

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.