Pinned Repositories
biopython_local
This is a repository that stores my personal changes to the Biopython package
computbiolgeek.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
cosmis
COSMIS is a new framework for quantification of the constraint on protein-coding genetic variation in 3D spatial neighborhoods. It leverages recent advances in computational structure prediction, large-scale sequencing data from gnomAD, and a mutation-spectrum-aware statistical model. The framework currently maps the landscape of 3D mutational constraint on 6.1 amino acid sites covering >80% (16,533) of human proteins. As genetic variation database and protein structure databases grow, we will continuously update COSMIS.
cosmis-app
A dash app for the COSMIS method.
kcnq1_predictive_modeling
massp
MASSP is a general method for predicting secondary structure, transmembrane segment and topology, and residue orientation of proteins.
predeval
Assessment of Performance of Regressors and Classifiers
ThermoNet
ThermoNet is a computational framework for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep 3D convolutional neural networks.
ThermoNet
ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep 3D convolutional neural networks.
udlbook
Understanding Deep Learning - Simon J.D. Prince
computbiolgeek's Repositories
computbiolgeek/massp
MASSP is a general method for predicting secondary structure, transmembrane segment and topology, and residue orientation of proteins.
computbiolgeek/ThermoNet
ThermoNet is a computational framework for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep 3D convolutional neural networks.
computbiolgeek/biopython_local
This is a repository that stores my personal changes to the Biopython package
computbiolgeek/computbiolgeek.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
computbiolgeek/cosmis
COSMIS is a new framework for quantification of the constraint on protein-coding genetic variation in 3D spatial neighborhoods. It leverages recent advances in computational structure prediction, large-scale sequencing data from gnomAD, and a mutation-spectrum-aware statistical model. The framework currently maps the landscape of 3D mutational constraint on 6.1 amino acid sites covering >80% (16,533) of human proteins. As genetic variation database and protein structure databases grow, we will continuously update COSMIS.
computbiolgeek/cosmis-app
A dash app for the COSMIS method.
computbiolgeek/kcnq1_predictive_modeling
computbiolgeek/predeval
Assessment of Performance of Regressors and Classifiers