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    • Jupyter Notebook
      MIT License
      0000Updated Dec 19, 2024Dec 19, 2024
    • domainome

      Public
      MIT License
      0510Updated Dec 10, 2024Dec 10, 2024
    • DiMSum

      Public
      An error model and pipeline for analyzing deep mutational scanning (DMS) data and diagnosing common experimental pathologies
      R
      MIT License
      62830Updated Dec 2, 2024Dec 2, 2024
    • MoCHI

      Public
      Neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data
      Python
      MIT License
      44300Updated Dec 2, 2024Dec 2, 2024
    • mochims

      Public
      Source 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)
      R
      MIT License
      0000Updated Aug 9, 2024Aug 9, 2024
    • Energetic modelling of Amyloid beta nucleation
      Jupyter Notebook
      MIT License
      1000Updated Aug 9, 2024Aug 9, 2024
    • Source code for analyses and figure reproduction in "Genetics, energetics and allostery during a billion years of hydrophobic protein core evolution", Escobedo et. al 2024
      Jupyter Notebook
      0100Updated Aug 1, 2024Aug 1, 2024
    • Source code for analyses and to reproduce all figures in the following publication: The genetic architecture of protein stability (Faure AJ et al., 2024)
      R
      MIT License
      0310Updated Jul 28, 2024Jul 28, 2024
    • Source 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)
      MIT License
      0200Updated Jul 13, 2024Jul 13, 2024
    • canya

      Public
      A hybrid neural network to predict nucleation propensity
      Python
      MIT License
      0110Updated Jun 27, 2024Jun 27, 2024
    • Source code for analyses and to reproduce all figures in the following publication: The allosteric landscape of Src (Beltran et al., 2023)
      MIT License
      0100Updated May 9, 2024May 9, 2024
    • Code for "A complete map of specificity encoding for a partially fuzzy protein interaction" by Taraneh Zarin and Ben Lehner
      R
      MIT License
      0000Updated Apr 26, 2024Apr 26, 2024
    • TECAN-reader based yeast growth measurements in R
      R
      0100Updated Apr 23, 2024Apr 23, 2024
    • R
      MIT License
      0010Updated Mar 19, 2024Mar 19, 2024
    • R
      0000Updated Mar 15, 2024Mar 15, 2024
    • Source 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)
      Jupyter Notebook
      MIT License
      0000Updated Mar 8, 2024Mar 8, 2024
    • Source code for computational analyses and to reproduce all figures in the following publication: The energetic and allosteric landscape for KRAS inhibition (Weng C, Faure AJ & Lehner B, 2022)
      R
      MIT License
      0400Updated Nov 17, 2023Nov 17, 2023
    • Source 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)
      R
      MIT License
      11900Updated Jul 20, 2023Jul 20, 2023
    • pdzextms

      Public
      Source code for analyses and to reproduce all figures in the following publication: The effects of PDZ domain extensions on energies, energetic couplings and allostery (Hidalgo-Carcedo C & Faure AJ et al., 2023)
      R
      MIT License
      0000Updated May 2, 2023May 2, 2023
    • Jupyter Notebook
      0000Updated Feb 27, 2023Feb 27, 2023
    • Script 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.
      R
      MIT License
      0300Updated May 15, 2022May 15, 2022
    • Scripts 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'
      R
      0000Updated Aug 3, 2021Aug 3, 2021
    • Scripts needed to reproduce Domingo et al. 2018
      R
      MIT License
      1300Updated Oct 19, 2020Oct 19, 2020
    • Codes to reproduce the analysis and figures for the project "Biochemical ambiguities prevent accurate genetic prediction"
      R
      MIT License
      1100Updated Jul 13, 2020Jul 13, 2020
    • Scripts needed to reproduce Baeza-Centurion et al. 2020
      R
      0200Updated Jun 30, 2020Jun 30, 2020
    • dimsumms

      Public
      Analysis 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", 2020
      R
      MIT License
      1100Updated Jun 22, 2020Jun 22, 2020
    • abetadms

      Public
      Analysis scripts for processing Abeta deep mutational scanning (DMS) data
      R
      MIT License
      1000Updated Apr 6, 2020Apr 6, 2020
    • This is codes for 'Changes in gene expression alter mutational effects and genetic interactions in an underlying biochemical parameter-dependent way.'
      R
      0000Updated Jan 15, 2020Jan 15, 2020
    • tardbpdms

      Public
      Analysis scripts for processing TDP-43 DMS data from Bolognesi & Faure et al. "The mutational landscape of a prion-like domain", 2019
      R
      MIT License
      1200Updated Jul 17, 2019Jul 17, 2019
    • Scripts for "Determining protein structures using deep mutagenesis", Schmiedel & Lehner, Nature Genetics, 2019
      R
      MIT License
      21710Updated Jul 5, 2019Jul 5, 2019