mjoppich

bioGUI

bioGUI provides install modules for bioinformatic software for users and allows developers to script a GUI for their applications.

pIMZ

This framework allows to perform scRNA-seq-like analyses of imaging mass-spectrometry data. Check out the example jupyter-notebook in examples/

sequ-into

Third generation sequencing techniques rapidly evolved as a common practice in molecular biology. Great advances have been made in terms of feasibility, cost, throughput, and read-length. However, sample contamination still poses a big issue: it complicates correct, high-quality downstream analysis of sequencing data and usage in medical applications. Furthermore, it might be unclear weather the sequenced reads represent the intended target. To address these issues we developed a cross-platform desktop application: Sequ-Into.

game_cibog_2022

Workshop material for GAME-CIBoG workshop

surfacenet_python

SurfaceNets implementation in python3 // Volumetric Data to STL

FlowSets

Analyse high-dimensional data in a longitudinal fashion and find similarly regulated sets of genes

miRExplore

miRExplore toolset stuff

Aorta3D

cPred

Predict the celltype of a cluster from Seurat FindMarker data

PLOSC

Plots and Scripts for scRNA-seq analysis

poreSTAT

poreSTAT: a python framework for working with fast5 third generation sequencing data

CERMINE

Content ExtRactor and MINEr

chemokine_interactionmap

Derive a chemokine-chemokine interaction map from (sc)RNA-seq sequencing data

CovidImmune

covidSC

gardening

Gardening App for Watering Plants using ESP8266

hpyl_pub

miRExplore_PMID_PMC

miRExplore_timeline_predict

miRExploreDB

mjoppich

Config files for my GitHub profile.

mOTUs_v2

motus - a tool for marker gene-based OTU (mOTU) profiling

mpld3

D3 Renderings of Matplotlib Graphics

mplexporter

A general scraper/exporter for matplotlib plots

myocardial_infarction

neutrophil_sc

PICASO

Profiling Integrative Communities of Aggregated Single-cell Omics data

sarscov2_mirna_tm

Collecting SARS-CoV-2 encoded miRNAs via text mining

tsxCount

VIMTM