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ressources trr 333 universität bonn trr 333 home about us news projects irtg resources publications you are here batenergy resources software tools metadatasheet the metadatasheet is a standardized user friendly workbook for recording experimental metadata in life sciences it provides a structured excel template with built in guidance examples and validation to ensure metadata are consistent complete and reusable designed to accompany data along the entire research data lifecycle from planning and collection to analysis publication and sharing it bridges experimental and computational workflows improves reproducibility and facilitates data reuse across research groups and platforms examples download current version codebase on github publication lea seep comicsart lea seep comicsart is a user friendly tool designed to bridge the gap between experimental and computational biology it offers a clean intuitive graphical user interface gui for exploring bulk omics data to conduct exploratory and statistical analyses generate interactive visualizations and automatically produce comprehensive reports what sets it apart is its tight integration with r every analysis in the gui can be exported as reproducible r scripts and machine readable objects so users can customize workflows further even if started within the gui available freely online with full documentation source code and docker support link publication shiny calorie shiny calorie is an open source shiny application for analyzing and visualizing indirect calorimetry data it supports direct imports from common metabolic phenotyping platforms integrates raw data with metadata and provides intuitive tools for statistical analysis and visualization of complex longitudinal datasets with features to assess key phenotypes such as resting metabolic rate and energy expenditure shiny calorie streamlines data handling ensures reproducibility and facilitates comparability across experiments in metabolic research available freely online with full documentation source code and docker support link publication stephan grein c compass lea seep c compass is an open source software tool designed to predict the spatial distribution of proteins across cellular compartments it uses a neural network based regression model to analyze multilocalization patterns and integrate protein abundance data while considering different biological conditions c compass is designed to be accessible to users without extensive computational expertise featuring an intuitive graphical user interface repository publication releases on zenodo wird geladen additional information participating universities and research institutions university of bonn technical university of munich university of hamburg helmholtz center munich impressum datenschutzerklärung trr 333 barrierefreiheit