TY - GEN
T1 - Fundamental limits of DNA storage systems
AU - Heckel, Reinhard
AU - Shomorony, Ilan
AU - Ramchandran, Kannan
AU - Tse, David N.C.
N1 - FUNDING AND ACKNOWLEDGEMENTS RH was supported by the Swiss National Science Foundation under grant P2EZP2 159065. IS and DT were supported by the Center for Science of Information, an NSF Science and Technology Center, under grant agreement CCF-0939370.
Part of this work was completed while IS and DT were visiting the Simons Institute for the Theory of Computing, UC Berkeley, and IS was supported by a Simons Research Fellowship. The authors would like to thank Olgica Milenkovic for helpful discussions on DNA-based storage during that time.
PY - 2017/8/9
Y1 - 2017/8/9
N2 - Due to its longevity and enormous information density, DNA is an attractive medium for archival storage. In this work, we study the fundamental limits and tradeoffs of DNA-based storage systems under a simple model, motivated by current technological constraints on DNA synthesis and sequencing. Our model captures two key distinctive aspects of DNA storage systems: (1) the data is written onto many short DNA molecules that are stored in an unordered way and (2) the data is read by randomly sampling from this DNA pool. Under this model, we characterize the storage capacity, and show that a simple index-based coding scheme is optimal.
AB - Due to its longevity and enormous information density, DNA is an attractive medium for archival storage. In this work, we study the fundamental limits and tradeoffs of DNA-based storage systems under a simple model, motivated by current technological constraints on DNA synthesis and sequencing. Our model captures two key distinctive aspects of DNA storage systems: (1) the data is written onto many short DNA molecules that are stored in an unordered way and (2) the data is read by randomly sampling from this DNA pool. Under this model, we characterize the storage capacity, and show that a simple index-based coding scheme is optimal.
UR - https://www.scopus.com/pages/publications/85034095114
UR - https://www.scopus.com/pages/publications/85034095114#tab=citedBy
U2 - 10.1109/ISIT.2017.8007106
DO - 10.1109/ISIT.2017.8007106
M3 - Conference contribution
AN - SCOPUS:85034095114
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 3130
EP - 3134
BT - 2017 IEEE International Symposium on Information Theory, ISIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Symposium on Information Theory, ISIT 2017
Y2 - 25 June 2017 through 30 June 2017
ER -