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    • Python
      0000Updated Oct 31, 2024Oct 31, 2024
    • Analysis pipeline for "Understanding the CYP family tree through deep mutational scanning: A joint analysis of CYP2C19 and 2C9 variant abundance"
      1000Updated Sep 3, 2024Sep 3, 2024
    • Python
      0000Updated Jun 7, 2024Jun 7, 2024
    • Jupyter Notebook
      0000Updated Nov 22, 2022Nov 22, 2022
    • simdms

      Public
      Deep mutational scanning dataset simulator.
      Python
      GNU General Public License v3.0
      0300Updated Sep 23, 2021Sep 23, 2021
    • Enrich2

      Public
      Tool for deep mutational scanning experiments.
      Python
      BSD 3-Clause "New" or "Revised" License
      1245210Updated Sep 22, 2021Sep 22, 2021
    • 2020_dOTS

      Public
      Sequencing and statistical analysis for Rose, J.C., Popp, N.A., et al. 2020. Suppression of unwanted CRISPR/Cas9 editing by co-administration of catalytically inactivating truncated guide RNAs. Nat. Comm.
      Python
      0001Updated Mar 25, 2021Mar 25, 2021
    • 2020_CAVA

      Public
      Data and analyses associated with CAVA
      0000Updated Oct 27, 2020Oct 27, 2020
    • VKOR

      Public
      Analysis pipeline for manuscript "Multiplexed measurement of variant abundance and activity reveals VKOR topology, active site and human variant impact."
      HTML
      BSD 3-Clause "New" or "Revised" License
      1100Updated Aug 31, 2020Aug 31, 2020
    • vcs_2019

      Public
      Code and processed data for manuscript entitled, "High-throughput, Microscope-based Sorting to Dissect Cellular Heterogeneity"
      Jupyter Notebook
      1100Updated May 25, 2020May 25, 2020
    • Analysis of amyloid ß large scale mutagenesis data by Gray et al. 2019
      0000Updated Oct 20, 2019Oct 20, 2019
    • HTML
      0000Updated Aug 14, 2019Aug 14, 2019
    • Data and code for Ahler et al 2019
      0100Updated Apr 5, 2019Apr 5, 2019
    • VAMPseq

      Public
      We developed Variant Abundance by Massively Parallel Sequencing (VAMP-seq), which simultaneously measures the effects of thousands of missense variants on protein intracellular abundance, and applied it to study PTEN and TPMT, two clinically actionable genes. This repository houses the analysis scripts used for this study.
      HTML
      3500Updated May 19, 2018May 19, 2018
    • We present Envision, an accurate predictor of protein variant molecular effect, trained using large-scale experimental mutagenesis data. All data and software in this study are freely available. The training data set and all code used to train the models and generate the figures presented in this manuscript are available here. Envision predictio…
      Jupyter Notebook
      11700Updated Jan 5, 2018Jan 5, 2018
    • To draw general conclusions about the effects of different amino acid substitutions, we analyzed 34,373 mutations in fourteen proteins whose effects were measured using large-scale mutagenesis approaches. Methionine was the most tolerated substitution while proline was the least tolerated. Histidine and asparagine best recapitulated the effects …
      1100Updated Jul 28, 2017Jul 28, 2017
    • Example deep mutational scanning dataset for Enrich2
      Creative Commons Attribution Share Alike 4.0 International
      0510Updated Sep 17, 2016Sep 17, 2016