DECIPHER: harnessing local sequence context to improve protein multiple sequence alignment
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Title
DECIPHER: harnessing local sequence context to improve protein multiple sequence alignment
Authors
Keywords
Multiple sequence alignment, Secondary structure predictions, Large scale alignment, Benchmark datasets, Modeling gap penalties
Journal
BMC BIOINFORMATICS
Volume 16, Issue 1, Pages -
Publisher
Springer Nature
Online
2015-10-06
DOI
10.1186/s12859-015-0749-z
References
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Related references
Note: Only part of the references are listed.- PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences
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- MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
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- DECIPHER, a Search-Based Approach to Chimera Identification for 16S rRNA Sequences
- (2011) Erik S. Wright et al. APPLIED AND ENVIRONMENTAL MICROBIOLOGY
- MSACompro: protein multiple sequence alignment using predicted secondary structure, solvent accessibility, and residue-residue contacts
- (2011) Xin Deng et al. BMC BIOINFORMATICS
- The Effects of Alignment Error and Alignment Filtering on the Sitewise Detection of Positive Selection
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- A Comprehensive Benchmark Study of Multiple Sequence Alignment Methods: Current Challenges and Future Perspectives
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- Protein tandem repeats - the more perfect, the less structured
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- The Effect of Insertions, Deletions, and Alignment Errors on the Branch-Site Test of Positive Selection
- (2010) W. Fletcher et al. MOLECULAR BIOLOGY AND EVOLUTION
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