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V2R_surfexp_rescue
Publicdomainome
PublicDiMSum
PublicMoCHI
Publicmochims
PublicSource code for analyses and to reproduce all figures in the following publication: MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis and allostery from deep mutational scanning data (Faure AJ & Lehner B, 2024)combinatorialcores
Publicarchstabms
PublicStop_codon_readthrough
PublicSource code for computational analyses and to reproduce all figures in the following publication: Genome-scale quantification and prediction of drug-induced readthrough of pathogenic premature termination codons (Toledano I, Supek F & Lehner B, 2023)canya
Publicsrc_allostery
Publicfuzzy_specificity
PublicTECAN_analysis
Publicdeep_indel_mutagenesis
Publicfas-indel-library
Publicwhmatrixextms
PublicSource code for analyses and to reproduce all figures in the following publication: An extension of the Walsh-Hadamard transform to calculate and model epistasis in genetic landscapes of arbitrary shape and complexity (Faure AJ, et al., 2023)krasddpcams
Publicdoubledeepms
PublicSource code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapping the energetic and allosteric landscapes of protein binding domains (Faure AJ, Domingo J & Schmiedel JM et al., 2022)pdzextms
PublicSUNi_mutagenesis
PublicRDGVassociation
PublicScript to (1) perform component extraction via ICA & VAE, (2) perform network analysis, and (3) replicate paper figures from manuscript. Pre-print on bioRxiv: https://www.biorxiv.org/content/10.1101/2021.11.14.468508v1.soma-germline-timing
PublicScripts to analyze C. elegans soma and germline timings, to measure length of L1 larvae and to quantify embryo fluorescence as described in the paper 'Neuronal perception of the social environment generates an inherited memory that controls the development and generation time of C. elegans'Biophysical_Ambiguity
PublicConstitutive_Exons
Publicdimsumms
PublicAnalysis scripts to reproduce the figures and results from the computational analyses described in the paper Faure and Schmiedel et al. "DiMSum: An error model and pipeline for analyzing deep mutational scanning (DMS) data and diagnosing common experimental pathologies", 2020abetadms
Publictardbpdms
PublicDMS2structure
Public