ACO
ACO compresses quality scores from high-throughput sequencing losslessly to reduce storage and preserve fidelity for downstream genomic analyses.
Key Features:
- Lossless Compression: Ensures no information is lost during compression, preserving the integrity of sequencing quality scores.
- Adaptive Coding Order: Traverses quality scores along trajectories that reflect their correlations with the sequencing process to optimize compression pathways.
- Arithmetic Coding and Context Modeling: Integrates adaptive arithmetic coding with context modeling to enhance compression effectiveness while maintaining moderate computational complexity.
Scientific Applications:
- Genomic data preservation: Maintains fidelity of quality scores from high-throughput sequencing for accurate interpretation of sequencing results.
- Downstream analyses support: Preserved quality-score information supports downstream genomic analyses that depend on score accuracy.
Methodology:
Reinvestigation of correlations between quality scores and the sequencing process informs an adaptive coding order that navigates quality-score trajectories; the approach combines adaptive arithmetic coding with context modeling to maximize compression efficiency without compromising data integrity.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C++, C
- Added:
- 6/14/2021
- Last Updated:
- 8/9/2021
Operations
Publications
Yi N, Mingming M, Fu L, Xianming L, Guangming S. ACO:lossless quality score compression based on adaptive coding order. Unknown Journal. 2021. doi:10.21203/rs.3.rs-418072/v1.
Links
Issue tracker
https://github.com/Yoniming/ACO/issues