Quantifying local randomness in human DNA and RNA sequences using Erdös motifs

DOI10.1016/j.jtbi.2018.09.031zbMath1406.92463arXiv1805.10248OpenAlexW2893862629WikidataQ58557157 ScholiaQ58557157MaRDI QIDQ1716870

Astero Provata, Dimitrios Thanos, Wentian Li

Publication date: 5 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.10248

zbMATH Keywords

local randomnessDNA motifsErdös discrepancy problemhuman genome

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20)

Uses Software

• BEDTools

Cites Work

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• A universal algorithm for sequential data compression
• Statistical properties of finite sequences with high Kolmogorov complexity
• GENERATING NONTRIVIAL LONG-RANGE CORRELATIONS AND 1/f SPECTRA BY REPLICATION AND MUTATION
• Tao’s resolution of the Erdős discrepancy problem
• Counting Sequences with Small Discrepancies
• An introduction to Kolmogorov complexity and its applications

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