Infrared: a declarative tree decomposition-powered framework for bioinformatics

Infrared: a declarative tree decomposition-powered framework for bioinformatics

Abstract Motivation Many bioinformatics problems can be approached as optimization or controlled sampling tasks, and solved exactly and efficiently using Dynamic Programming (DP). However, such exact methods are typically tailored towards specific settings, complex to develop, and hard to implement...

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Hlavní autoři: Hua-Ting Yao, Bertrand Marchand, Sarah J. Berkemer, Yann Ponty, Sebastian Will
Médium: Článek
Jazyk:English
Vydáno: BMC 2024-03-01
Edice:Algorithms for Molecular Biology
Témata:
Bioinformatics
Fixed-parameter tractable algorithms
Tree decomposition
Boltzmann sampling
Network phylogeny
RNA sequence design
On-line přístup:https://doi.org/10.1186/s13015-024-00258-2

Internet

https://doi.org/10.1186/s13015-024-00258-2

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