scholarly journals Guided linking: dynamic linking without the costs

2020 ◽  
Vol 4 (OOPSLA) ◽  
pp. 1-29
Author(s):  
Sean Bartell ◽  
Will Dietz ◽  
Vikram S. Adve
Keyword(s):  



F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 741 ◽  
Author(s):  
Kevin Rue-Albrecht ◽  
Federico Marini ◽  
Charlotte Soneson ◽  
Aaron T.L. Lun

Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproducibility. We demonstrate the utility and flexibility of iSEE by applying it to explore a range of real transcriptomics and proteomics data sets.







Author(s):  
Adam Bates ◽  
Joe Pletcher ◽  
Tyler Nichols ◽  
Braden Hollembaek ◽  
Dave Tian ◽  
...  
Keyword(s):  


1994 ◽  
Vol 40 (9) ◽  
pp. 599-604
Author(s):  
Peter René Dietmüller
Keyword(s):  


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