Gregor Sturm (grst)

grst

Geek Repo

Company:Boehringer Ingelheim

Location:Biberach, DE

Home Page:https://grst.github.io

Github PK Tool:Github PK Tool


Organizations
bioconda
conda-forge
icbi-lab
jupyterlab
nf-core

Gregor Sturm's repositories

geos

Google Earth Overlay Server - display map overlays in Google Earth

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nf-core-test-modules

Nextflow pipeline to run all tests from the nf-core-modules repository"

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scrnaseq

A single-cell RNAseq pipeline for 10X genomics data

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simple-scvi

Example repo of using scvi-tools building blocks externally with simplified scVI implementation

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spatialdata-plot

Static plotting for spatialdata

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adjusttext-feedstock

A conda-smithy repository for adjusttext.

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anndata

Annotated data.

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atlas_protocol

A computational protocol for atlas-level data integration and analysis as performed in Salcher et al. (2022).

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cell2module

cell2module: gene module discovery from scRNA and scATAC using count-based Bayesian NMF

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cellcharter

A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.

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easier

R package to use EaSIeR to predict anti-tumor immune response from bulk RNA-seq

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fava

Functional Associations using Variational Autoencoders

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infercnvpy

Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.

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modules

Repository to host tool-specific module files for the Nextflow DSL2 community!

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MultiQC

Aggregate results from bioinformatics analyses across many samples into a single report.

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MultiQC_TestData

Test data for MultiQC. See https://github.com/ewels/MultiQC

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neutrophil-review

Code to generate figures for neutrophil review

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nf-training-advanced

Customer workshop materials

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pytometry

Flow & mass cytometry analytics.

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Rfast

Fork of Rfast

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scDblFinder

Methods for detecting doublets in single-cell sequencing data

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scib-metrics

Accelerated, Python-only, single-cell integration benchmarking metrics

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single-cell-best-practices

https://www.sc-best-practices.org

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spatialtranscriptomics

Pipeline for processing spatially-resolved gene counts with spatial coordinates, image data, and optionally single cell RNA-seq data, designed for 10x genomics visium and single cell transcriptomics.

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svae_test

I have tried to implement svae myself in this repo

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test-datasets

Test data to be used for automated testing with the nf-core pipelines

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TSO500R

R package for data analysis with CombinedVariantOutput.tsv data

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visionpy

Functional interpretation of single cell similarity maps

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