Name: Komorowski's Bioinformatics Lab
Type: User
Company: Uppsala University
Bio: Our research focuses on developing models of biological systems from big genomic data by developing machine learning, statistical methods and algorithms.
Location: Uppsala
Blog: http://bioinf.icm.uu.se/
Komorowski's Bioinformatics Lab's Projects
A framework for annotating transcription factor motifs
Shiny app code for the funMotifs database web interface
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
scripts for the reproducing figures used in the manuscript and the comparisons
Other useful functions and tools.
The source code for ||-ROSETTA, a pipeline for Rough Set classification
Peak-finder meta server for ChIP-seq data analaysis
quick test of hugo on github pages
An R package for interpretable machine learning. R.ROSETTA uses ROSETTA toolkit that supports data mining and knowledge discovery based on the rough set theory.
Single-Cell Analysis in Python. Scales to >1M cells.
tfNet is a computational tool that identifies putative regulatory regions and genomic signal interactions in a genome-wide scale.
VisuNet: an interactive tool for network visualization of rule-based models in R