Topic Detection and Classification in Social Networks 2017

DOI: 10.1007/978-3-319-66414-9_3

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Joint Sequence Complexity: Introduction and Theory

Dimitrios Milioris

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The Joint Complexity Tool and Performance1

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“…In other words, there exists two other sequences, u and w , such that

. We call “string complexity” of X ,

, the number of different factors of X [ 3 , 4 ]. Let Y be another sequence, we call “joint complexity”,

the number of different factors common to X and Y .…”

Section: The Joint Complexity Tool and Performancementioning

confidence: 99%

Information Theoretic Study of COVID-19 Genome

Jacquet

2024

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In this paper, we analyse the genome sequence of COVID-19 on a information point of view, and we compare that with past and present genomes. We use the powerful tool of joint complexity in order to quantify the similarities measured between the various potential parent genomes. The tool has a computing complexity of several orders of magnitude below the classic Smith–Waterman algorithm and would allow it to be used on a larger scale.

“…In other words, there exists two other sequences, u and w , such that

. We call “string complexity” of X ,

, the number of different factors of X [ 3 , 4 ]. Let Y be another sequence, we call “joint complexity”,

the number of different factors common to X and Y .…”

Section: The Joint Complexity Tool and Performancementioning

confidence: 99%

Information Theoretic Study of COVID-19 Genome

Jacquet

2024

View full text Add to dashboard Cite

In this paper, we analyse the genome sequence of COVID-19 on a information point of view, and we compare that with past and present genomes. We use the powerful tool of joint complexity in order to quantify the similarities measured between the various potential parent genomes. The tool has a computing complexity of several orders of magnitude below the classic Smith–Waterman algorithm and would allow it to be used on a larger scale.

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