2015
DOI: 10.1093/nar/gkv345
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The ReproGenomics Viewer: an integrative cross-species toolbox for the reproductive science community

Abstract: We report the development of the ReproGenomics Viewer (RGV), a multi- and cross-species working environment for the visualization, mining and comparison of published omics data sets for the reproductive science community. The system currently embeds 15 published data sets related to gametogenesis from nine model organisms. Data sets have been curated and conveniently organized into broad categories including biological topics, technologies, species and publications. RGV's modular design for both organisms and … Show more

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Cited by 48 publications
(45 citation statements)
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References 51 publications
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“…from epigenomic, regulomic, transcriptomic, proteomic, and interactomic studies, in order to link the flow of information from DNA to functional proteins and non-coding RNAs. The success of this integrative work will also depend on the development of new types of web servers, such as the ReproGenomics Viewer (http:// rgv.genouest.org/; Darde et al 2015), which allows the visualization, mining, and comparison of various types of omics data (e.g. ChIP-seq, RNA-seq, MS-based proteomics) in a multi-and cross-species manner.…”
Section: Resultsmentioning
confidence: 99%
“…from epigenomic, regulomic, transcriptomic, proteomic, and interactomic studies, in order to link the flow of information from DNA to functional proteins and non-coding RNAs. The success of this integrative work will also depend on the development of new types of web servers, such as the ReproGenomics Viewer (http:// rgv.genouest.org/; Darde et al 2015), which allows the visualization, mining, and comparison of various types of omics data (e.g. ChIP-seq, RNA-seq, MS-based proteomics) in a multi-and cross-species manner.…”
Section: Resultsmentioning
confidence: 99%
“…Single-cell RNA-sequencing data of human adult testicular cells [84] were recovered from the ReproGenomics Viewer [85,86] and processed using the AMEN software [87]. Briefly, out of the 23’109 genes measured in this experiment, only those with an average expression level (log2[count+1]) of at least 1 in a least one cell population and a fold-change of at least 2 between at least two cell populations were considered as being differentially-expressed.…”
Section: Methodsmentioning
confidence: 99%
“…Gene lists were analyzed for enrichment using the online tool EnrichR 67 . The ChIP-seq data are available in the ReproGenomics Viewer (https://rgv.genouest.org) 68, 69 and Gene Expression Omnibus (GSE128767; http://www.ncbi.nlm.nih.gov/geo/).…”
Section: Methodsmentioning
confidence: 99%