ArticleBMC bioinformatics2016
AlignStat: a web-tool and R package for statistical comparison of alternative multiple sequence alignments.
Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The difficulty of aligning intrinsically disordered protein sequences as assessed by conservation and phylogeny.PloS one · 2023Article
- Anti-Tick Vaccines: Current Advances and Future Prospects.Methods in molecular biology (Clifton, N.J.) · 2022Article
- ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process.BMC bioinformatics · 2021Article
- NGlyAlign: an automated library building tool to align highly divergent HIV envelope sequences.BMC bioinformatics · 2021Article
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2 authors.
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Abstract
backgroundAlternative sequence alignment algorithms yield different results. It is therefore useful to quantify the similarities and differences between alternative alignments of the same sequences. These measurements can identify regions of consensus that are likely to be most informative in downstream analysis. They can also highlight systematic differences between alignments that relate to differences in the alignment algorithms themselves.
resultsHere we present a simple method for aligning two alternative multiple sequence alignments to one another and assessing their similarity. Differences are categorised into merges, splits or shifts in one alignment relative to the other. A set of graphical visualisations allow for intuitive interpretation of the data.
conclusionsAlignStat enables the easy one-off online use of MSA similarity comparisons or into R pipelines. The web-tool is available at AlignStat.Science.LaTrobe.edu.au. The R package, readme and example data are available on CRAN and GitHub.com/TS404/AlignStat.
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