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Max DelbrĂĽck Center - Berlin Institute for Medical Systems Biology (MDC-BIMSB)
- Berlin
- meghan.bio
- @meghafon
Highlights
Stars
Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab
Deep probabilistic analysis of single-cell and spatial omics data
Spatiotemporal modeling of spatial transcriptomics
Applying polygenic scores (PGS) on imputed genotypes
Reference mapping for single-cell genomics
Biological sequence analysis for the modern age.
snakemake pipeline for creating trees from sequence sets
A generative model for programmable protein design
SARS-CoV-2 RBD antibody escape calculator
Accelerated BLAST compatible local sequence aligner.
Espalier is a Python package for working with discordant phylogenetic trees using maximum agreement forests.
Sampling and manipulating genome-wide ancestral recombination graphs (ARGs)
Deploying synthetic coevolution and machine learning to engineer protein-protein interactions
A software to resolve the phylogeny of haploid SNPs
flu-crew / PD_stats
Forked from siddhantGrover16/PD_statsA project designed with algorithms to compute PD Stats
Scalable machine 🤖 learning for time series forecasting.
A high-performance, zero-overhead, extensible Python compiler using LLVM
Opinion model that simulates how individuals, influencers and media interact on social media platforms. The model is formulated as an agent-based model and by a PDE-approximation. Different strateg…
FRACTAL: framework for distributed computing to trace large accurate lineages
Single-cell analysis in Python. Scales to >1M cells.
Collections of library structure and sequence of popular single cell genomic methods
Online material for the Perspective: "Julia for Biologists" presented at JuliaCon 2021: https://www.youtube.com/watch?v=gRj7E5kYG1I
Nextstrain build for novel coronavirus SARS-CoV-2
Final Project for FUB 22Win Phylogeny Inference and Application
Read-only mirror (squashed) of the polymake project for convex geometry. For more information please visit
Listing of papers about machine learning for proteins.