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@FowlerLab

Fowler Lab

Laboratory of Douglas M. Fowler in the Department of Genome Sciences at the University of Washington.
  • Enrich2

    Tool for deep mutational scanning experiments.

    Python GPL-3.0 3 17 7 0 Updated Sep 6, 2019
  • HTML 0 0 0 0 Updated Aug 14, 2019
  • amyloidBeta2019

    Analysis of amyloid ß large scale mutagenesis data by Gray et al. 2019

    0 0 0 0 Updated May 11, 2019
  • 2019_SrcActivity

    Data and code for Ahler et al 2019

    0 0 0 0 Updated Apr 5, 2019
  • VAMPseq

    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 0 2 0 0 Updated May 19, 2018
  • Envision2017

    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 0 4 0 0 Updated Jan 5, 2018
  • 2017_GRAY_InformativeAA

    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 …

    0 1 0 0 Updated Jul 28, 2017
  • simdms

    Deep mutational scanning dataset simulator.

    Python GPL-3.0 0 2 0 0 Updated Jun 2, 2017
  • Enrich2-Example

    Example deep mutational scanning dataset for Enrich2

    CC-BY-SA-4.0 0 2 0 0 Updated Sep 17, 2016

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