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Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan / Hassani-Pak, Keywan


CiteScore 2018: 0.90

SCImago Journal Rank (SJR) 2018: 0.315

Open Access
Online
ISSN
1613-4516
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Volume 5, Issue 2

Issues

Visual Comparison of Multiple Gene Expression Datasets in a Genomic Context

Krzysztof Borowski
  • Corresponding author
  • Sun Center of Excellence for Visual Genomics, University of Calgary, Faculty of Medicine, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Jung Soh
  • Sun Center of Excellence for Visual Genomics, University of Calgary, Faculty of Medicine, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Christoph W. Sensen
  • Sun Center of Excellence for Visual Genomics, University of Calgary, Faculty of Medicine, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2008-97

Summary

The need for novel methods of visualizing microarray data is growing. New perspectives are beneficial to finding patterns in expression data. The Bluejay genome browser provides an integrative way of visualizing gene expression datasets in a genomic context. We have now developed the functionality to display multiple microarray datasets simultaneously in Bluejay, in order to provide researchers with a comprehensive view of their datasets linked to a graphical representation of gene function. This will enable biologists to obtain valuable insights on expression patterns, by allowing them to analyze the expression values in relation to the gene locations as well as to compare expression profiles of related genomes or of di erent experiments for the same genome.

About the article

Published Online: 2016-10-18

Published in Print: 2008-06-01


Citation Information: Journal of Integrative Bioinformatics, Volume 5, Issue 2, Pages 94–103, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2008-97.

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© 2008 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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