Abstract
DNA Microarray images are used to identify and monitor gene activity, or expression. In a single experiment, a large number of microarray images may be produced. Storage and archiving of these images are an important problem for researchers. Since microarray images can have a wide variety of nearly random patterns with no discernible structures, general entropy coders, e.g. Bzip2, or generic image compressors, e.g. JPEG-LS, do not perform well. In this work, we investigate performance of the inversion coding technique in lossless compression of DNA microarray images. We show that inversion coding outperforms commonly used entropy coders and image compressors.
| Original language | English (US) |
|---|---|
| Title of host publication | 2014 11th Annual High Capacity Optical Networks and Emerging/Enabling Technologies (Photonics for Energy), HONET-PfE 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 186-189 |
| Number of pages | 4 |
| ISBN (Print) | 9781479969401 |
| DOIs | |
| State | Published - Feb 2 2014 |
| Event | 2014 11th Annual High Capacity Optical Networks and Emerging/Enabling Technologies (Photonics for Energy), HONET-PfE 2014 - Charlotte, United States Duration: Dec 15 2014 → Dec 17 2014 |
Other
| Other | 2014 11th Annual High Capacity Optical Networks and Emerging/Enabling Technologies (Photonics for Energy), HONET-PfE 2014 |
|---|---|
| Country | United States |
| City | Charlotte |
| Period | 12/15/14 → 12/17/14 |
Fingerprint
Keywords
- Block-sorting
- BWIC
- DNA Microarray Images
- Inversion Ranks
- Lossless Compression
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
Cite this
Lossless compression of DNA Microarray images with inversion coder. / Koc, Basar; Arnavut, Ziya; Kocak, Huseyin.
2014 11th Annual High Capacity Optical Networks and Emerging/Enabling Technologies (Photonics for Energy), HONET-PfE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 186-189 7029387.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Lossless compression of DNA Microarray images with inversion coder
AU - Koc, Basar
AU - Arnavut, Ziya
AU - Kocak, Huseyin
PY - 2014/2/2
Y1 - 2014/2/2
N2 - DNA Microarray images are used to identify and monitor gene activity, or expression. In a single experiment, a large number of microarray images may be produced. Storage and archiving of these images are an important problem for researchers. Since microarray images can have a wide variety of nearly random patterns with no discernible structures, general entropy coders, e.g. Bzip2, or generic image compressors, e.g. JPEG-LS, do not perform well. In this work, we investigate performance of the inversion coding technique in lossless compression of DNA microarray images. We show that inversion coding outperforms commonly used entropy coders and image compressors.
AB - DNA Microarray images are used to identify and monitor gene activity, or expression. In a single experiment, a large number of microarray images may be produced. Storage and archiving of these images are an important problem for researchers. Since microarray images can have a wide variety of nearly random patterns with no discernible structures, general entropy coders, e.g. Bzip2, or generic image compressors, e.g. JPEG-LS, do not perform well. In this work, we investigate performance of the inversion coding technique in lossless compression of DNA microarray images. We show that inversion coding outperforms commonly used entropy coders and image compressors.
KW - Block-sorting
KW - BWIC
KW - DNA Microarray Images
KW - Inversion Ranks
KW - Lossless Compression
UR - http://www.scopus.com/inward/record.url?scp=84946693415&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946693415&partnerID=8YFLogxK
U2 - 10.1109/HONET.2014.7029387
DO - 10.1109/HONET.2014.7029387
M3 - Conference contribution
SN - 9781479969401
SP - 186
EP - 189
BT - 2014 11th Annual High Capacity Optical Networks and Emerging/Enabling Technologies (Photonics for Energy), HONET-PfE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -