A Reference-Free Lossless Compression Algorithm for DNA Sequences Using a Competitive Prediction of Two Classes of Weighted Models

A Reference-Free Lossless Compression Algorithm for DNA Sequences Using a Competitive Prediction of Two Classes of Weighted Models

The development of efficient data compressors for DNA sequences is crucial not only for reducing the storage and the bandwidth for transmission, but also for analysis purposes. In particular, the development of improved compression models directly influences the outcome of anthropological and biomed...

Full description

Bibliographic Details
Main Authors: Diogo Pratas, Morteza Hosseini, Jorge M. Silva, Armando J. Pinho
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Entropy
Subjects:
lossless data compression
dna sequences
competitive prediction
weighted models
context models
stochastic repeat models
Online Access:https://www.mdpi.com/1099-4300/21/11/1074

Internet

https://www.mdpi.com/1099-4300/21/11/1074

Similar Items