Für unsere Aufgaben benutzen wir vor allem R und Bioconductor-Softwarepakete. Folgende Softwarepakete haben wir im Rahmen unserer Forschungsarbeiten entwickelt:

• pcaExplorer“Interactive Visualization of RNA-seq Data Using a Principal Components Approach”, doi.org/10.1186/s12859-019-2879-1

• ideal “Interactive Differential Expression AnaLysis”, doi.org/10.1186/s12859-020-03819-5

• GeneTonic “GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data”, doi.org/10.1186/s12859-021-04461-5

• iSEE “iSEE: Interactive SummarizedExperiment Explorer”, doi.org/10.12688/f1000research.14966.1

• iSEEu “The iSEE Universe”

• simrec “Simulating Recurrent Event Data with Hazard Functions Defined on a Total Time Scale”, doi.org/10.1186/s12874-015-0005-2

• annoFuse“annoFuse: an R Package to annotate, prioritize, and interactively explore putative oncogenic RNA fusions”, https://doi.org/10.1186/s12859-020-03922-7

• TREND-DB “TREND-DB—a transcriptome-wide atlas of the dynamic landscape of alternative polyadenylation”, doi.org/10.1093/nar/gkaa722

• netmeta “A graphical tool for locating inconsistency in network meta-analyses”, https://doi.org/10.1186/1471-2288-13-35

• SteppedPower “Power Calculation for Stepped Wedge Designs”

• Rhineland-Palatinate Mortality Monitoring, http://shiny.imbei.uni-mainz.de:3838/rlp_mm/ 

• GENEHUNTER-MODSCORE 4.0
• GENEHUNTER-MODSCORE 3.1.1
• GENEHUNTER-IMPRINTING
• GENEHUNTER-TWOLOCUS
• GENEHUNTER-QMOD