ArticleBMC bioinformatics2011
SuiteMSA: visual tools for multiple sequence alignment comparison and molecular sequence simulation.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024Review
- DiMA: sequence diversity dynamics analyser for viruses.Briefings in bioinformatics · 2024Article
- Evolution of Photorespiratory Glycolate Oxidase among Archaeplastida.Plants (Basel, Switzerland) · 2020Article
- The search of sequence variants using a constrained protein evolution simulation approach.Computational and structural biotechnology journal · 2020Article
- Signatures of Relaxed Selection in the CYP8B1 Gene of Birds and Mammals.Journal of molecular evolution · 2019Article
- AlignStat: a web-tool and R package for statistical comparison of alternative multiple sequence alignments.BMC bioinformatics · 2016Article
- IVisTMSA: Interactive Visual Tools for Multiple Sequence Alignments.Evolutionary bioinformatics online · 2015Review
- Evaluating the accuracy and efficiency of multiple sequence alignment methods.Evolutionary bioinformatics online · 2014Article
- Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques.Nucleic acids research · 2013Article
- Evolution of the globin gene family in deuterostomes: lineage-specific patterns of diversification and attrition.Molecular biology and evolution · 2012Article
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3 authors.
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Abstract
backgroundMultiple sequence alignment (MSA) plays a central role in nearly all bioinformatics and molecular evolutionary applications. MSA reconstruction is thus one of the most heavily scrutinized bioinformatics fields. Evaluating the quality of MSA reconstruction is often hindered by the lack of good reference MSAs. The use of sequence evolution simulation can provide such reference MSAs. Furthermore, none of the MSA viewing/editing programs currently available allows the user to make direct comparisons between two or more MSAs. Considering the importance of MSA quality in a wide range of research, it is desirable if MSA assessment can be performed more easily.
resultsWe have developed SuiteMSA, a java-based application that provides unique MSA viewers. Users can directly compare multiple MSAs and evaluate where the MSAs agree (are consistent) or disagree (are inconsistent). Several alignment statistics are provided to assist such comparisons. SuiteMSA also includes a graphical phylogeny editor/viewer as well as a graphical user interface for a sequence evolution simulator that can be used to construct reference MSAs.
conclusionsSuiteMSA provides researchers easy access to a sequence evolution simulator, reference alignments generated by the simulator, and a series of tools to evaluate the performance of the MSA reconstruction programs. It will help us improve the quality of MSAs, often the most important first steps of bioinformatics and other biological research.
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