Bluejay 1.0: genome browsing and comparison with rich customization provision and dynamic resource linking

BackgroundThe Bluejay genome browser has been developed over several years to address the challenges posed by the ever increasing number of data types as well as the increasing volume of data in genome research. Beginning with a browser capable of rendering views of XML-based genomic information and providing scalable vector graphics output, we have now completed version 1.0 of the system with many additional features. Our development efforts were guided by our observation that biologists who use both gene expression profiling and comparative genomics gain functional insights above and beyond those provided by traditional per-gene analyses.ResultsBluejay 1.0 is a genome viewer integrating genome annotation with: (i) gene expression information; and (ii) comparative analysis with an unlimited number of other genomes in the same view. This allows the biologist to see a gene not just in the context of its genome, but also its regulation and its evolution. Bluejay now has rich provision for personalization by users: (i) numerous display customization features; (ii) the availability of waypoints for marking multiple points of interest on a genome and subsequently utilizing them; and (iii) the ability to take user relevance feedback of annotated genes or textual items to offer personalized recommendations. Bluejay 1.0 also embeds the Seahawk browser for the Moby protocol, enabling users to seamlessly invoke hundreds of Web Services on genomic data of interest without any hard-coding.ConclusionBluejay offers a unique set of customizable genome-browsing features, with the goal of allowing biologists to quickly focus on, analyze, compare, and retrieve related information on the parts of the genomic data they are most interested in. We expect these capabilities of Bluejay to benefit the many biologists who want to answer complex questions using the information available from completely sequenced genomes.

[1]  Paramvir S. Dehal,et al.  Two Rounds of Whole Genome Duplication in the Ancestral Vertebrate , 2005, PLoS biology.

[2]  R. Likert “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[3]  S. Salzberg,et al.  Fast algorithms for large-scale genome alignment and comparison. , 2002, Nucleic acids research.

[4]  Christoph Wilhelm Sensen,et al.  Bluejay: A Browser for Linear Units in Java , 2002 .

[5]  Andrei L. Turinsky,et al.  Bluejay: A Highly Scalable and Integrative Visual Environment for Genome Exploration , 2007, 2007 IEEE Congress on Services (Services 2007).

[6]  Sean R. Eddy,et al.  The Distributed Annotation System , 2001, BMC Bioinformatics.

[7]  Christoph Wilhelm Sensen Handbook of Genome Research , 2005 .

[8]  R. W. Davis,et al.  Genome sequence of an obligate intracellular pathogen of humans: Chlamydia trachomatis. , 1998, Science.

[9]  Christoph W. Sensen,et al.  Seahawk: moving beyond HTML in Web-based bioinformatics analysis , 2007, BMC Bioinformatics.

[10]  Andrei L. Turinsky,et al.  Bioinformatics visualization and integration with open standards: the Bluejay genomic browser , 2004, Silico Biol..

[11]  Alfonso Valencia,et al.  Interoperability with Moby 1.0--it's better than sharing your toothbrush! , 2008, Briefings in bioinformatics.

[12]  Sabrina Fröls,et al.  Elucidating the transcription cycle of the UV-inducible hyperthermophilic archaeal virus SSV1 by DNA microarrays. , 2007, Virology.

[13]  Andreas Prlic,et al.  Ensembl 2007 , 2006, Nucleic Acids Res..

[14]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[15]  W Helmberg,et al.  NCBI genetic resources supporting immunogenetic research. , 2000, Reviews in immunogenetics.

[16]  David Haussler,et al.  The UCSC genome browser database: update 2007 , 2006, Nucleic Acids Res..

[17]  Ikuo Uchiyama,et al.  How genomes rearrange: genome comparison within bacteria Neisseria suggests roles for mobile elements in formation of complex genome polymorphisms. , 2006, Gene.

[18]  A I Saeed,et al.  TM4: a free, open-source system for microarray data management and analysis. , 2003, BioTechniques.

[19]  S. Lewis,et al.  The generic genome browser: a building block for a model organism system database. , 2002, Genome research.

[20]  James Clark,et al.  XSL Transformations (XSLT) Version 1.0 , 1999 .

[21]  Christoph W. Sensen,et al.  Response of the Hyperthermophilic Archaeon Sulfolobus solfataricus to UV Damage , 2007, Journal of bacteriology.

[22]  Andrei L. Turinsky,et al.  Genome Data Representation Through Images: The MAGPIE/Bluejay System , 2005 .

[23]  DIMITRIOS PIERRAKOS,et al.  User Modeling and User-Adapted Interaction , 1994, User Modeling and User-Adapted Interaction.

[24]  Steven J. DeRose,et al.  Xml linking language (xlink), version 1. 0 , 2000, WWW 2000.

[25]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[26]  Robert Richards,et al.  Document Object Model (DOM) , 2006 .

[27]  Ting Wang,et al.  The UCSC Genome Browser Database: update 2009 , 2008, Nucleic Acids Res..

[28]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[29]  Andreas Neumann Scalable Vector Graphics (SVG) , 2008, Encyclopedia of GIS.

[30]  Xavier Messeguer,et al.  M-GCAT: interactively and efficiently constructing large-scale multiple genome comparison frameworks in closely related species , 2006, BMC Bioinformatics.