Keywords
Tree (set theory)Pairwise comparisonConsistency (knowledge bases)Computer scienceMultiple sequence alignmentSet (abstract data type)HeuristicSequence (biology)Sequence alignmentData miningMachine learningTheoretical computer scienceArtificial intelligenceBiologyMathematicsCombinatorics
Affiliated Institutions
Related Publications
The order of sequence alignment can bias the selection of tree topology.
Sequential pairwise alignment of multiple sequences is a widely used procedure (Kruskal 1983 ).It is useful and generally successful when sequences within a set differ by relati...
Protein homology detection by HMM–HMM comparison
Abstract Motivation: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. Results: We have gene...
Automated generation of heuristics for biological sequence comparison
Abstract Background Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to i...
Generating consensus sequences from partialorder multiple sequence alignment graphs
Abstract Motivation: Consensus sequence generation is important in many kinds of sequence analysis ranging from sequence assembly to profile-based iterative search methods. Howe...
pGenTHREADER and pDomTHREADER: new methods for improved protein fold recognition and superfamily discrimination
Abstract Motivation: Generation of structural models and recognition of homologous relationships for unannotated protein sequences are fundamental problems in bioinformatics. Im...
Publication Info
- Year
- 2014
- Type
- article
- Volume
- 15
- Issue
- 1
- Pages
- 338-338
- Citations
- 12
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
12
OpenAlex
Cite This
Fabian Sievers,
Graham M. Hughes,
Desmond G. Higgins
(2014).
Systematic exploration of guide-tree topology effects for small protein alignments.
BMC Bioinformatics
, 15
(1)
, 338-338.
https://doi.org/10.1186/1471-2105-15-338
Identifiers
- DOI
- 10.1186/1471-2105-15-338