Literature DB >> 21994220

FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis.

Sudhir Kumar1, Charlotte Konikoff, Bernard Van Emden, Christopher Busick, Kailah T Davis, Shuiwang Ji, Lin-Wei Wu, Hector Ramos, Thomas Brody, Sethuraman Panchanathan, Jieping Ye, Timothy L Karr, Kristyn Gerold, Michael McCutchan, Stuart J Newfeld.   

Abstract

SUMMARY: Images containing spatial expression patterns illuminate the roles of different genes during embryogenesis. In order to generate initial clues to regulatory interactions, biologists frequently need to know the set of genes expressed at the same time at specific locations in a developing embryo, as well as related research publications. However, text-based mining of image annotations and research articles cannot produce all relevant results, because the primary data are images that exist as graphical objects. We have developed a unique knowledge base (FlyExpress) to facilitate visual mining of images from Drosophila melanogaster embryogenesis. By clicking on specific locations in pictures of fly embryos from different stages of development and different visual projections, users can produce a list of genes and publications instantly. In FlyExpress, each queryable embryo picture is a heat-map that captures the expression patterns of more than 4500 genes and more than 2600 published articles. In addition, one can view spatial patterns for particular genes over time as well as find other genes with similar expression patterns at a given developmental stage. Therefore, FlyExpress is a unique tool for mining spatiotemporal expression patterns in a format readily accessible to the scientific community. AVAILABILITY: http://www.flyexpress.net CONTACT: s.kumar@asu.edu.

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Year:  2011        PMID: 21994220      PMCID: PMC3223365          DOI: 10.1093/bioinformatics/btr567

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function.

Authors:  Eric Lécuyer; Hideki Yoshida; Neela Parthasarathy; Christina Alm; Tomas Babak; Tanja Cerovina; Timothy R Hughes; Pavel Tomancak; Henry M Krause
Journal:  Cell       Date:  2007-10-05       Impact factor: 41.582

2.  Comparison of embryonic expression within multigene families using the FlyExpress discovery platform reveals more spatial than temporal divergence.

Authors:  Charlotte E Konikoff; Timothy L Karr; Michael McCutchan; Stuart J Newfeld; Sudhir Kumar
Journal:  Dev Dyn       Date:  2011-09-29       Impact factor: 3.780

3.  BEST: a novel computational approach for comparing gene expression patterns from early stages of Drosophila melanogaster development.

Authors:  Sudhir Kumar; Karthik Jayaraman; Sethuraman Panchanathan; Rajalakshmi Gurunathan; Ana Marti-Subirana; Stuart J Newfeld
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

4.  Systematic determination of patterns of gene expression during Drosophila embryogenesis.

Authors:  Pavel Tomancak; Amy Beaton; Richard Weiszmann; Elaine Kwan; ShengQiang Shu; Suzanna E Lewis; Stephen Richards; Michael Ashburner; Volker Hartenstein; Susan E Celniker; Gerald M Rubin
Journal:  Genome Biol       Date:  2002-12-23       Impact factor: 13.583

  4 in total
  27 in total

Review 1.  Resources for functional genomics studies in Drosophila melanogaster.

Authors:  Stephanie E Mohr; Yanhui Hu; Kevin Kim; Benjamin E Housden; Norbert Perrimon
Journal:  Genetics       Date:  2014-03-20       Impact factor: 4.562

2.  myFX: a turn-key software for laboratory desktops to analyze spatial patterns of gene expression in Drosophila embryos.

Authors:  Ivan Montiel; Charlotte Konikoff; Bremen Braun; Mary Packard; Sian L Gramates; Qian Sun; Jieping Ye; Sudhir Kumar
Journal:  Bioinformatics       Date:  2014-01-09       Impact factor: 6.937

3.  Developmentally regulated autophagy is required for eye formation in Drosophila.

Authors:  Viktor Billes; Tibor Kovács; Anna Manzéger; Péter Lőrincz; Sára Szincsák; Ágnes Regős; Péter István Kulcsár; Tamás Korcsmáros; Tamás Lukácsovich; Gyula Hoffmann; Miklós Erdélyi; József Mihály; Krisztina Takács-Vellai; Miklós Sass; Tibor Vellai
Journal:  Autophagy       Date:  2018-08-09       Impact factor: 16.016

4.  Quantitative modeling of a gene's expression from its intergenic sequence.

Authors:  Md Abul Hassan Samee; Saurabh Sinha
Journal:  PLoS Comput Biol       Date:  2014-03-06       Impact factor: 4.475

5.  Identification of genes associated with resilience/vulnerability to sleep deprivation and starvation in Drosophila.

Authors:  Matthew S Thimgan; Laurent Seugnet; John Turk; Paul J Shaw
Journal:  Sleep       Date:  2015-05-01       Impact factor: 5.849

6.  Comparison of embryonic expression within multigene families using the FlyExpress discovery platform reveals more spatial than temporal divergence.

Authors:  Charlotte E Konikoff; Timothy L Karr; Michael McCutchan; Stuart J Newfeld; Sudhir Kumar
Journal:  Dev Dyn       Date:  2011-09-29       Impact factor: 3.780

7.  Exploring spatial patterns of gene expression from fruit fly embryogenesis on the iPhone.

Authors:  Sudhir Kumar; Kelly Boccia; Michael McCutchan; Jieping Ye
Journal:  Bioinformatics       Date:  2012-08-24       Impact factor: 6.937

Review 8.  Using FlyBase, a Database of Drosophila Genes and Genomes.

Authors:  Steven J Marygold; Madeline A Crosby; Joshua L Goodman
Journal:  Methods Mol Biol       Date:  2016

9.  Learning sparse representations for fruit-fly gene expression pattern image annotation and retrieval.

Authors:  Lei Yuan; Alexander Woodard; Shuiwang Ji; Yuan Jiang; Zhi-Hua Zhou; Sudhir Kumar; Jieping Ye
Journal:  BMC Bioinformatics       Date:  2012-05-23       Impact factor: 3.169

10.  Characterization of genomic regulatory domains conserved across the genus Drosophila.

Authors:  Virginia Sahagun; José M Ranz
Journal:  Genome Biol Evol       Date:  2012       Impact factor: 3.416

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