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pmid: 15963889
Multiple sequence alignments are very widely used in all areas of DNA and protein sequence analysis. The main methods that are still in use are based on 'progressive alignment' and date from the mid to late 1980s. Recently, some dramatic improvements have been made to the methodology with respect either to speed and capacity to deal with large numbers of sequences or to accuracy. There have also been some practical advances concerning how to combine three-dimensional structural information with primary sequences to give more accurate alignments, when structures are available.
Models, Molecular, Base Sequence, Molecular Sequence Data, Molecular Conformation, Proteins, Sequence Homology, DNA, Structure-Activity Relationship, Models, Chemical, Computer Simulation, Amino Acid Sequence, Sequence Alignment, Sequence Analysis, Algorithms, Software
Models, Molecular, Base Sequence, Molecular Sequence Data, Molecular Conformation, Proteins, Sequence Homology, DNA, Structure-Activity Relationship, Models, Chemical, Computer Simulation, Amino Acid Sequence, Sequence Alignment, Sequence Analysis, Algorithms, Software
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 94 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |