Evidence map›Paper›PMID 35156022›Full record

ArticleNAR genomics and bioinformatics2022

High-scale random access on DNA storage systems.

Alex El-Shaikh, Marius Welzel, Dominik Heider, Bernhard Seeger

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Data recovery methods for DNA storage based on fountain codes.Computational and structural biotechnology journal · 2024
    Article
  3. Optimizing fountain codes for DNA data storage.Computational and structural biotechnology journal · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. DNAsmart: Multiple attribute ranking tool for DNA data storage systems.Computational and structural biotechnology journal · 2023
    Article
  9. Review
  10. 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.

Alex El-ShaikhDepartment of Computer Science, University of Marburg, Marburg 35037, Germany.ORCID https://orcid.org/0000-0001-6276-4020
Marius WelzelDepartment of Computer Science, University of Marburg, Marburg 35037, Germany.ORCID https://orcid.org/0000-0002-4946-2156
Dominik HeiderDepartment of Computer Science, University of Marburg, Marburg 35037, Germany.ORCID https://orcid.org/0000-0002-3108-8311
Bernhard SeegerDepartment of Computer Science, University of Marburg, Marburg 35037, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the rapid cost decline of synthesizing and sequencing deoxyribonucleic acid (DNA), high information density, and its durability of up to centuries, utilizing DNA as an information storage medium has received the attention of many scientists. State-of-the-art DNA storage systems exploit the high capacity of DNA and enable random access (predominantly random reads) by primers, which serve as unique identifiers for directly accessing data. However, primers come with a significant limitation regarding the maximum available number per DNA library. The number of different primers within a library is typically very small (e.g. ≈10). We propose a method to overcome this deficiency and present a general-purpose technique for addressing and directly accessing thousands to potentially millions of different data objects within the same DNA pool. Our approach utilizes a fountain code, sophisticated probe design, and microarray technologies. A key component is locality-sensitive hashing, making checks for dissimilarity among such a large number of probes and data objects feasible.

Identifiers

PMID35156022
PMCPMC8829907

What OpenQuestion holds

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LicenceCC BY
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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.