DNA data storage | Md Noor-A-Rahim

With the ever-increasing information in the digital world, the effective way to store enormous data with high reliability, capacity and durability has been much discussed. In recent years, owing to the superior properties like extremely high physical density and preservation duration, using DNA molecules as the data storage medium has drawn a rising attention. However, the unique biochemical processes involved in DNA storage introduce specific types of errors that differ from traditional storage media. Understanding and modeling these data-dependent and process-dependent errors is crucial for designing robust coding schemes and ensuring reliable data retrieval (Wang et al., 2023).

Within the scope of DNA-based data storage, I am actively engaged in the following areas:

High density, high reliability, and extreme durability of DNA data storage.

References

2023

Modelling, Characterization of Data-Dependent and Process-Dependent Errors in DNA Data Storage

Yixin Wang , Md. Noor-A-Rahim , Erry Gunawan , and 2 more authors

IEEE/ACM Trans. on Computational Biology and Bioinformatics, 2023

Bib URL PDF

@article{a10005802,
  author = {Wang, Yixin and Noor-A-Rahim, Md. and Gunawan, Erry and Guan, Yong L. and Poh, Chueh L.},
  journal = {IEEE/ACM Trans. on Computational Biology and Bioinformatics},
  title = {Modelling, Characterization of Data-Dependent and Process-Dependent Errors in DNA Data Storage},
  year = {2023},
  volume = {20},
  number = {3},
  pages = {2147-2158},
  keywords = {DNA;Sequential analysis;Memory;Decoding;Error analysis;Computational modeling;Receivers;Channel modelling;DNA data storage;error characterization;long-term storage},
  doi = {10.1109/TCBB.2022.3233914},
  google_scholar_id = {fQNAKQ3IYiAC},
}