20 papers · ranked by Valyu relevance
Penghao Wang, Ziniu Mu, Lijun Sun, Shuqing Si + 1 more
DNA is a natural storage medium with the advantages of high storage density and long service life compared with traditional media. DNA storage can meet the current storage requirements for massive data. Owing to the limitations of the DNA storage technology, the data need to be converted into short DNA sequences for…
Jia Lu, Ryan Tsoi, Nan Luo, Yuanchi Ha + 8 more
Dynamical systems often generate distinct outputs according to different initial conditions, and one can infer the corresponding input configuration given an output. This property captures the essence of information encoding and decoding. Here, we demonstrate the use of self-organized patterns, combined with machine…
Yanfen Zheng, Ben Cao, Xiaokang Zhang, Shuang Cui + 2 more
'Qiang Zhang'] Background DNA storage has the advantages of large capacity, long-term stability, and low power consumption relative to other storage mediums, making it a promising new storage medium for multimedia information such as images. However, DNA storage has a low coding density and weak error correction…
Robert Bamler
Entropy coding is the backbone data compression. Novel machine-learning based compression methods often use a new entropy coder called Asymmetric Numeral Systems (ANS) [Duda et al., 2015], which provides very close to optimal bitrates and simplifies [Townsend et al., 2019] advanced compression techniques such as…
A. E. Allahverdyan, Andranik Khachatryan
A text written using symbols from a given alphabet can be compressed using the Huffman code, which minimizes the length of the encoded text. It is necessary, however, to employ a text-specific codebook, i.e. the symbol-codeword dictionary, to decode the original text. Thus, the compression performance should be…
Xuyang Zhao, Junyao Li, Qingyuan Fan, Jing Dai + 5 more
DNA, as the origin for the genetic information flow, has also been a compelling alternative to non-volatile information storage medium. Reading digital information from this highly dense but lightweighted medium nowadays relied on conventional next-generation sequencing (NGS), which involves ‘wash and read’ cycles for…
Canberk İrimağzı, Yusuf Uslan, Ahmed Hareedy
—From the information-theoretic perspective, DNA strands serve as a storage medium for 4-ary data over the alphabet {A, T, G, C}. DNA data storage promises formidable information density, long-term durability, and ease of replicability. However, information in this intriguing storage technology might be corrupted…
Lu Yunfei, Zhang Xuncai
In this paper, we propose a DNA storage encoding scheme based on a 64-element coding table combined with forward error correction. The method encodes the data into DNA sequences by LZW compression of the original text, adding error correction codes and scrambling codes. In the encoding process, the effects of GC…
Le Zhang, Todd B. Krause, Harnimarta Deol, Bipin Pandey + 5 more
Sequence-defined polymers (SDPs) are currently being investigated for use as information storage media. As the number of monomers in the SDPs increases, with a corresponding increase in mathematical base, the use of tandem-MS for de novo sequencing becomes more challenging. In contrast, chain-end degradation routines…
Xuncai Zhang, Baonan Qi, Ying Niu, Lenore Cowen
[btae113-F3] shows the structure of the DNA sequence designed in this scheme, the payload portion is 168 nt, and the left and right sides with a length of 24 nt are primers, which play a role in amplifying the target DNA fragments in the PCR, and also affect the quality of the sequencing. The Reed-Solomon (RS) code is…
Xu Yang, Langwen Lai, Xiaoli Qiang, Ming Deng + 3 more
DNA, as the storage medium in organisms, can address the shortcomings of existing electromagnetic storage media, such as low information density, high maintenance power consumption, and short storage time. Current research on DNA storage mainly focuses on designing corresponding encoders to convert binary data into DNA…
Verena Volf, Simon Zhang, Karen M. Song, Sharon Qian + 2 more
Although DNA is increasingly being adopted as a generalizable medium for information storage and transfer, reliable methods for ensuring information security remain to be addressed. In this study, we developed and validated a cryptographic encoding scheme, Genomic Sequence Encryption (GSE), to address the challenge of…
R. Sakthivel, Ch. Vijayalakshmi, M. Vanitha, Kareem M. AboRas + 4 more
'Waleed Mohammed Abdelfattah' 'Yazeed Yasin Ghadi' 'Ch. Rami Reddy' 'Shonak Bansal'] Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. Golomb code is one of the effective technique…
Johan Chrisnata, Han Mao Kiah, Van Long Phuoc Pham
The synthesis of DNA strands remains the most costly part of the DNA storage system. Thus, to make DNA storage system more practical, the time and materials used in the synthesis process have to be optimized. We consider the most common type of synthesis process where multiple DNA strands are synthesized in parallel…
Xavier Pic, Marc Antonini
Over the past years, the ever-growing trend on data storage demand, more specifically for "cold" data (rarely accessed data), has motivated research for alternative systems of data storage. Because of its biochemical characteristics, synthetic DNA molecules are now considered as serious candidates for this new kind of…
Fajia Sun, Long Qian
DNA has been pursued as a compelling medium for digital data storage during the past decade. While large-scale data storage and random access have been achieved in artificial DNA, the synthesis cost keeps hindering DNA data storage from popularizing into daily life. In this study, we proposed a more efficient paradigm…
Richard Apodaca
Despite its widespread use, Simplified Molecular Input Line Entry System (SMILES) remains underspecified. The lack of a detailed specification encourages improvisation by software developers, complicates data standardization efforts, and undermines extension development. Balsa, a reformulation of SMILES, addresses…
Yibo Yang, Stephan Mandt, Lucas Theis
Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new possibilities for data compression, allowing compression algorithms to be learned end-to-end from data using powerful generative models such…
Armin Hoenen
It is possible to interpret text as numbers (and vice versa) if one interpret letters and other characters as digits and assume that they have an inherent immutable ordering. This is demonstrated by the conventional digit set of the hexadecimal system of number coding, where the letters ABCDEF in this exact alphabetic…
Jürgen Köfinger, Gerhard Hummer
The proper balancing of information from experiment and theory is a long-standing problem in the analysis of noisy and incomplete data. Viewed as a Pareto optimization problem, improved agreement with the experimental data comes at the expense of growing inconsistencies with the theoretical reference model. Here, we…