Add to ORKGThe purpose of this project is to compare the complexities of different species\u27 mitochondrial genome sequences. Using an implementation of Deflate compression algorithm from Java standard library, we were able to compress mitochondrial genomes of nine different species. The complexity of each sequence is estimated as a ratio of the original sequence length to the length of the compressed sequence. In addition, we show how a notion of topological entropy from symbolic dynamics can be used as another complexity measure of nucleotide sequences
This paper introduces a novel algorithm for biological sequence compression that makes use of both s...
Topological entropy is one of the most difficult entropies to be used to analyze the DNA sequences, ...
This paper studies the chromosome information of twenty five species, namely, mammals, fishes, bird...
The purpose of this project is to compare the complexities of different species\u27 mitochondrial ge...
An efficient DNA compressor furnishes an approximation to measure and compare information quantities...
Abstract—Sequence comparison is a fundamental tool in bioinformatics research since it helps to dist...
Data compression at its base is concerned with how information is organized in data. Understanding t...
In this short note, we outline some results about complexity of orbits of a dynamical system, entrop...
A detailed entropy analysis by the recent novelty of 'lumping' is performed in some DNA sequences. O...
This master thesis describes theoretical knowledge of biological sequences, principles entropy rate ...
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published arti...
This paper presents an exploratory analysis of the mitochondrial DNA (mtDNA) of 32 species in the su...
Abstract — Biological sequences from different species are called orthologs if they evolved from a s...
DNA sequences can be treated as finite-length symbol strings over a four-letter alphabet (A, C, T, G...
A measure called physical complexity is established and calculated for a population of sequences, ba...
This paper introduces a novel algorithm for biological sequence compression that makes use of both s...
Topological entropy is one of the most difficult entropies to be used to analyze the DNA sequences, ...
This paper studies the chromosome information of twenty five species, namely, mammals, fishes, bird...
The purpose of this project is to compare the complexities of different species\u27 mitochondrial ge...
An efficient DNA compressor furnishes an approximation to measure and compare information quantities...
Abstract—Sequence comparison is a fundamental tool in bioinformatics research since it helps to dist...
Data compression at its base is concerned with how information is organized in data. Understanding t...
In this short note, we outline some results about complexity of orbits of a dynamical system, entrop...
A detailed entropy analysis by the recent novelty of 'lumping' is performed in some DNA sequences. O...
This master thesis describes theoretical knowledge of biological sequences, principles entropy rate ...
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published arti...
This paper presents an exploratory analysis of the mitochondrial DNA (mtDNA) of 32 species in the su...
Abstract — Biological sequences from different species are called orthologs if they evolved from a s...
DNA sequences can be treated as finite-length symbol strings over a four-letter alphabet (A, C, T, G...
A measure called physical complexity is established and calculated for a population of sequences, ba...
This paper introduces a novel algorithm for biological sequence compression that makes use of both s...
Topological entropy is one of the most difficult entropies to be used to analyze the DNA sequences, ...
This paper studies the chromosome information of twenty five species, namely, mammals, fishes, bird...