A novel randomized iterative strategy for aligning multiple protein sequences
Explore this paper's citation graph
Summary
This work randomly divides a group of unaligned sequences into two subgroups, between which an optimal alignment is obtained by a Needleman-Wunsch style of algorithm, which modifies the intensive computer storage and time requirements of dynamic programming.
- Type
- article
- Published
- 1991-10-01
- Cited by
- 119
- References
- 17
- OpenAlex
- https://openalex.org/W2082658158
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1942920
Keywords
Pairwise comparison, Computer science, Dynamic programming, Multiple sequence alignment, Programming style
References
- A strategy for the rapid multiple alignment of protein sequences. Confidence levels from tertiary structure comparisons.
- Trees, stars, and multiple biological sequence alignment
- A multiple alignment program for protein sequences
- The multiple sequence alignment problem in biology
- A multiple sequence alignment algorithm for homologous proteins using secondary structure information and optionally keying alignments to functionally important sites
- Tests for comparing related amino-acid sequences. Cytochrome c and cytochrome c 551 .
- A tool for multiple sequence alignment.
- Gap costs for multiple sequence alignment.
- Improved tools for biological sequence comparison.
- Simultaneous comparison of three protein sequences.
- Comparative model-building of the mammalian serine proteases.
- An improved algorithm for matching biological sequences.
- A general method applicable to the search for similarities in the amino acid sequence of two proteins.
- A workbench for multiple alignment construction and analysis
- Fast and sensitive multiple sequence alignments on a microcomputer
- Multiple sequence alignment by a pairwise algorithm
Cited by
- Parallel Multiple Sequence Alignment Using Speculative Computation
- Optimal Alignment of Multiple Sequence Alignments
- k-Group Multiple Alignment Based on A* Search
- Multiple alignment of DNA sequences with MAFFT.
- Algorithms for string matching with applications in molecular biology
- Comparative Gene Finding
- Efficient Construction of accurate Multiple alignments and Large-Scale phylogenies
- Utilisation des algorithmes genetiques pour l'analyse de sequences biologiques
- Bioinformatics for DNA Sequence Analysis
- Computational statistics in molecular phylogenetics
- Improvement in the accuracy of multiple sequence alignment program MAFFT.
- Structural EM methods in phylogenetics and stemmatology
- Total evidence analysis of the phylogenetic relationships of Lycosoidea spiders (Araneae, Entelegynae)
- Oligoclonal development of B cells bearing discrete Ig chains in chicken single germinal centers.
- Parallel Iterative Aligner with Genetic Algorithm
- High Performance Computational Methods for Biological Sequence Analysis
- Robust sequence alignment using evolutionary rates coupled with an amino acid substitution matrix
- Divide-and-Conquer Multiple Sequence Alignment
- Multiple Protein Tyrosine Phosphatases in Sponges and Explosive Gene Duplication in the Early Evolution of Animals Before the Parazoan–Eumetazoan Split
- Handling biological sequence alignments on networked computing systems: A divide-and-conquer approach
Related papers
- Alignment of protein sequences by their profiles
- Homology-extended sequence alignment
- Combining partial order alignment and progressive multiple sequence alignment increases alignment speed and scalability to very large alignment problems
- INTERALIGN: interactive alignment editor for distantly related protein sequences
- ReformAlign: improved multiple sequence alignments using a profile-based meta-alignment approach
- ALIGN_MTX - An optimal pairwise textual sequence alignment program, adapted for using in sequence-structure alignment
- Grammar-based distance in progressive multiple sequence alignment
- Optimization of multiple‐sequence alignment based on multiple‐structure alignment
- A comprehensive comparison of multiple sequence alignment programs