Evolution of biological sequences implies an extreme value distribution of type I for both global and local pairwise alignment scores
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Evolution of biological sequences implies an extreme value distribution of type I for both global and local pairwise alignment scores ; volume:9 ; number:1 ; day:07 ; month:8 ; year:2008 ; pages:1-10 ; date:12.2008
BMC bioinformatics ; 9, Heft 1 (07.8.2008), 1-10, 12.2008
- Creator
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Bastien, Olivier
- Contributor
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Maréchal, Eric
SpringerLink (Online service)
- DOI
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10.1186/1471-2105-9-332
- URN
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urn:nbn:de:1111-201602172649
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
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Associated
- Bastien, Olivier
- Maréchal, Eric
- SpringerLink (Online service)
Other Objects (12)
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Three-Higgs-doublet model under A4 symmetry implies alignment
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Can Clustal-style progressive pairwise alignment of multiple sequences be used in RNA secondary structure prediction?
Parallelized pairwise sequence alignment using CUDA on multiple GPUs
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Α Quantum Pattern Recognition Method for Improving Pairwise Sequence Alignment
A new graph-based method for pairwise global network alignment
Covariance of maximum likelihood evolutionary distances between sequences aligned pairwise
YPFA implies MRP
Pairwise alignment of nucleotide sequences using maximal exact matches
GraphAlignment: Bayesian pairwise alignment of biological networks
Statistical distributions of optimal global alignment scores of random protein sequences
Three-Higgs-doublet model under A4 symmetry implies alignment
Efficient pairwise RNA structure prediction and alignment using sequence alignment constraints
Can Clustal-style progressive pairwise alignment of multiple sequences be used in RNA secondary structure prediction?
Parallelized pairwise sequence alignment using CUDA on multiple GPUs
MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
Α Quantum Pattern Recognition Method for Improving Pairwise Sequence Alignment
A new graph-based method for pairwise global network alignment
Covariance of maximum likelihood evolutionary distances between sequences aligned pairwise
YPFA implies MRP
Pairwise alignment of nucleotide sequences using maximal exact matches
GraphAlignment: Bayesian pairwise alignment of biological networks
Statistical distributions of optimal global alignment scores of random protein sequences
Three-Higgs-doublet model under A4 symmetry implies alignment
Efficient pairwise RNA structure prediction and alignment using sequence alignment constraints
Can Clustal-style progressive pairwise alignment of multiple sequences be used in RNA secondary structure prediction?
Parallelized pairwise sequence alignment using CUDA on multiple GPUs
MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
Α Quantum Pattern Recognition Method for Improving Pairwise Sequence Alignment
A new graph-based method for pairwise global network alignment
Covariance of maximum likelihood evolutionary distances between sequences aligned pairwise