ArticleBioinformatics (Oxford, England)2011
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis.
Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed.
- From promoter motif to cardiac function: a single DPE motif affects transcription regulation and organ function in vivo.Development (Cambridge, England) · 2024Article
- MIGGRI: A multi-instance graph neural network model for inferring gene regulatory networks for Drosophila from spatial expression images.PLoS computational biology · 2023Article
- Using FlyBase: A Database of Drosophila Genes and Genetics.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Control of Cell Growth and Proliferation by the Tribbles Pseudokinase: Lessons from Drosophila.Cancers · 2021Review
- The Roles of the LIM Domain Proteins inFrontiers in cardiovascular medicine · 2021Review
- Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.IEEE transactions on big data · 2020Article
- Predicting gene regulatory interactions based on spatial gene expression data and deep learning.PLoS computational biology · 2019Article
- TheDisease models & mechanisms · 2018Article
- Article
- FlyExpress 7: An Integrated Discovery Platform To Study Coexpressed Genes UsingG3 (Bethesda, Md.) · 2017Article
- Regulation of the BMP Signaling-Responsive Transcriptional Network in the Drosophila Embryo.PLoS genetics · 2016Article
- Representation of anatomy in online atlases and databases: a survey and collection of patterns for interface design.BMC developmental biology · 2016Article
- Using FlyBase, a Database of Drosophila Genes and Genomes.Methods in molecular biology (Clifton, N.J.) · 2016Review
- Article
- Article
- SoxNeuro orchestrates central nervous system specification and differentiation in Drosophila and is only partially redundant with Dichaete.Genome biology · 2014Article
- myFX: a turn-key software for laboratory desktops to analyze spatial patterns of gene expression in Drosophila embryos.Bioinformatics (Oxford, England) · 2014Article
- Review
- Quantitative modeling of a gene's expression from its intergenic sequence.PLoS computational biology · 2014Article
- Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression.Bioinformatics (Oxford, England) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
summaryImages 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.