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A time warping approach to multiple sequence alignment
- Source :
- Statistical Applications in Genetics and Molecular Biology, Statistical Applications in Genetics and Molecular Biology, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩, Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- We propose an approach for multiple sequence alignment (MSA) derived from the dynamic time warping viewpoint and recent techniques of curve synchronization developed in the context of functional data analysis. Starting from pairwise alignments of all the sequences (viewed as paths in a certain space), we construct a median path that represents the MSA we are looking for. We establish a proof of concept that our method could be an interesting ingredient to include into refined MSA techniques. We present a simple synthetic experiment as well as the study of a benchmark dataset, together with comparisons with 2 widely used MSA softwares.
- Subjects :
- 0301 basic medicine
Statistics and Probability
FOS: Computer and information sciences
Warping
Dynamic time warping
Computer science
Context (language use)
Statistics - Applications
Quantitative Biology - Quantitative Methods
03 medical and health sciences
Synchronization (computer science)
Genetics
Computer Simulation
Applications (stat.AP)
Image warping
Molecular Biology
Quantitative Methods (q-bio.QM)
Alignment
[STAT.AP]Statistics [stat]/Applications [stat.AP]
Multiple sequence alignment
Base Sequence
Functional data analysis
Quantitative Biology::Genomics
[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
Computational Mathematics
Quantitative Biology::Quantitative Methods
030104 developmental biology
FOS: Biological sciences
Path (graph theory)
Pairwise comparison
Algorithm
Sequence Alignment
Algorithms
Software
Subjects
Details
- Language :
- English
- ISSN :
- 15446115
- Database :
- OpenAIRE
- Journal :
- Statistical Applications in Genetics and Molecular Biology, Statistical Applications in Genetics and Molecular Biology, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩, Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩
- Accession number :
- edsair.doi.dedup.....731dfc5c6cf88eac1b93afe7e2645a0d
- Full Text :
- https://doi.org/10.1515/sagmb-2016-0043⟩