Literature DB >> 25237396

Sequence Diversity Diagram for comparative analysis of multiple sequence alignments.

Ryo Sakai1, Jan Aerts1.   

Abstract

BACKGROUND: The sequence logo is a graphical representation of a set of aligned sequences, commonly used to depict conservation of amino acid or nucleotide sequences. Although it effectively communicates the amount of information present at every position, this visual representation falls short when the domain task is to compare between two or more sets of aligned sequences. We present a new visual presentation called a Sequence Diversity Diagram and validate our design choices with a case study.
METHODS: Our software was developed using the open-source program called Processing. It loads multiple sequence alignment FASTA files and a configuration file, which can be modified as needed to change the visualization.
RESULTS: The redesigned figure improves on the visual comparison of two or more sets, and it additionally encodes information on sequential position conservation. In our case study of the adenylate kinase lid domain, the Sequence Diversity Diagram reveals unexpected patterns and new insights, for example the identification of subgroups within the protein subfamily. Our future work will integrate this visual encoding into interactive visualization tools to support higher level data exploration tasks.

Entities:  

Year:  2014        PMID: 25237396      PMCID: PMC4155614          DOI: 10.1186/1753-6561-8-S2-S9

Source DB:  PubMed          Journal:  BMC Proc        ISSN: 1753-6561


  6 in total

1.  Parallel sets: interactive exploration and visual analysis of categorical data.

Authors:  Robert Kosara; Fabian Bendix; Helwig Hauser
Journal:  IEEE Trans Vis Comput Graph       Date:  2006 Jul-Aug       Impact factor: 4.579

2.  Mutual information without the influence of phylogeny or entropy dramatically improves residue contact prediction.

Authors:  S D Dunn; L M Wahl; G B Gloor
Journal:  Bioinformatics       Date:  2007-12-05       Impact factor: 6.937

3.  Common angle plots as perception-true visualizations of categorical associations.

Authors:  Heike Hofmann; Marie Vendettuoli
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-12       Impact factor: 4.579

4.  Sequence logos: a new way to display consensus sequences.

Authors:  T D Schneider; R M Stephens
Journal:  Nucleic Acids Res       Date:  1990-10-25       Impact factor: 16.971

5.  BioJS: an open source JavaScript framework for biological data visualization.

Authors:  John Gómez; Leyla J García; Gustavo A Salazar; Jose Villaveces; Swanand Gore; Alexander García; Maria J Martín; Guillaume Launay; Rafael Alcántara; Noemi Del-Toro; Marine Dumousseau; Sandra Orchard; Sameer Velankar; Henning Hermjakob; Chenggong Zong; Peipei Ping; Manuel Corpas; Rafael C Jiménez
Journal:  Bioinformatics       Date:  2013-02-23       Impact factor: 6.937

6.  Jalview Version 2--a multiple sequence alignment editor and analysis workbench.

Authors:  Andrew M Waterhouse; James B Procter; David M A Martin; Michèle Clamp; Geoffrey J Barton
Journal:  Bioinformatics       Date:  2009-01-16       Impact factor: 6.937

  6 in total
  2 in total

1.  Understanding the sequence requirements of protein families: insights from the BioVis 2013 contests.

Authors:  William C Ray; R Wolfgang Rumpf; Brandon Sullivan; Nicholas Callahan; Thomas Magliery; Raghu Machiraju; Bang Wong; Martin Krzywinski; Christopher W Bartlett
Journal:  BMC Proc       Date:  2014-08-28

2.  ProfileGrids: a sequence alignment visualization paradigm that avoids the limitations of Sequence Logos.

Authors:  Alberto I Roca
Journal:  BMC Proc       Date:  2014-08-28
  2 in total

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