#
bkutlu
Follow
Lists (1)
Starred repositories
55
stars
written in HTML
Clear filter
📚 Community guides for open source creators
Official repo for the #tidytuesday project
This is the development home of the workflow management system Snakemake. For general information, see
A searchable compilation of Kaggle past solutions
A collaboratively written review paper on deep learning, genomics, and precision medicine
Embeddable genomic visualization component based on the Integrative Genomics Viewer
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Single cell RNA sequencing analysis course
An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.
Code and annotations for the Tabula Muris single-cell transcriptomic dataset.
Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.
A Shiny web app for mapping datasets using Seurat v4
Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and ev…
scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources…
An R package to manipulate and explore UK Biobank data
Use R, Rstudio, Shiny, Radiant, Python, and Jupyter in a Docker container
The START App: R Shiny Transcriptome Analysis Resource Tool
This contains the dataset for comparing scRNA-seq analysis methods
Topics In Data Science and Bioinformatics
Compendium to "A Systematic Evaluation of Single Cell RNA-Seq Analysis Pipelines"
A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
Predicting gene expression levels from genomic sequences