Accurate Prediction of the Statistics of Repetitions in Random Sequences: A Case Study in Archaea Genomes.
Identifieur interne : 000074 ( France/Analysis ); précédent : 000073; suivant : 000075Accurate Prediction of the Statistics of Repetitions in Random Sequences: A Case Study in Archaea Genomes.
Auteurs : Mireille Régnier [France] ; Philippe Chassignet [France]Source :
- Frontiers in bioengineering and biotechnology [ 2296-4185 ] ; 2016.
Abstract
Repetitive patterns in genomic sequences have a great biological significance and also algorithmic implications. Analytic combinatorics allow to derive formula for the expected length of repetitions in a random sequence. Asymptotic results, which generalize previous works on a binary alphabet, are easily computable. Simulations on random sequences show their accuracy. As an application, the sample case of Archaea genomes illustrates how biological sequences may differ from random sequences.
DOI: 10.3389/fbioe.2016.00035
PubMed: 27376057
Affiliations:
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pubmed:27376057Le document en format XML
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Analytic combinatorics allow to derive formula for the expected length of repetitions in a random sequence. Asymptotic results, which generalize previous works on a binary alphabet, are easily computable. Simulations on random sequences show their accuracy. As an application, the sample case of Archaea genomes illustrates how biological sequences may differ from random sequences. </div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Île-de-France</li></region><settlement><li>Palaiseau</li></settlement></list><tree><country name="France"><region name="Île-de-France"><name sortKey="Regnier, Mireille" sort="Regnier, Mireille" uniqKey="Regnier M" first="Mireille" last="Régnier">Mireille Régnier</name></region><name sortKey="Chassignet, Philippe" sort="Chassignet, Philippe" uniqKey="Chassignet P" first="Philippe" last="Chassignet">Philippe Chassignet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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