On overabundant words and their application to biological sequence analysis-Reference-Cited by-同舟云学术

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On overabundant words and their application to biological sequence analysis

Published:2019-11 Issue: Volume:792 Page:85-95
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Almirantis Yannis,Charalampopoulos Panagiotis,Gao Jia,Iliopoulos Costas S.,Mohamed Manal,Pissis Solon P.,Polychronopoulos Dimitris

Funder

King's College London

A.G. Leventis Foundation

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference26 articles.

1. Linguistics of nucleotide sequences: morphology and comparison of vocabularies;Brendel;J. Biomol. Struct. Dyn.,1986

2. On avoided words, absent words, and their application to biological sequence analysis;Almirantis;Algorithms Mol. Biol.,2017

3. Optimal computation of overabundant words;Almirantis,2017

4. Efficient detection of unusual words;Apostolico;J. Comput. Biol.,2000

5. Monotony of surprise and large-scale quest for unusual words;Apostolico;J. Comput. Biol.,2003

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1. The fitness cost of spurious phosphorylation;The EMBO Journal;2024-09-10

2. Computing Minimal Absent Words and Extended Bispecial Factors with CDAWG Space;Lecture Notes in Computer Science;2024

3. The fitness cost of spurious phosphorylation;2023-10-10

4. Efficient Data Structures for Range Shortest Unique Substring Queries;Algorithms;2020-10-30

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