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lab-manuscript-template
lab-manuscript-template PublicAn academic manuscript template with writing tips in both LaTeX and MS Word format generated by the Capra Lab (2/2022)
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DiGePred
DiGePred PublicForked from souhridm/DiGePred
Random Forest classifier designed to predict pairs of human genes capable to causing a digenic disease when carrying rare variants simultaneously. DiGePred has been trained using digenic pairs from…
Python 8
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VIPUR
VIPUR PublicForked from EvanBaugh/VIPUR
A method for identifying deleterious protein variation.
C++ 1
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resources
resources PublicThis directory includes useful tutorials and resources for working in the Capra lab.
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- pdbmap Public
CapraLab/pdbmap’s past year of commit activity - pipeline_download_scripts Public
BASH scripts to download required files for the psbadmin and pdbmap code
CapraLab/pipeline_download_scripts’s past year of commit activity - NEFL_Haplotype_Editing Public
CapraLab/NEFL_Haplotype_Editing’s past year of commit activity - lab-manuscript-template Public
An academic manuscript template with writing tips in both LaTeX and MS Word format generated by the Capra Lab (2/2022)
CapraLab/lab-manuscript-template’s past year of commit activity - resources Public
This directory includes useful tutorials and resources for working in the Capra lab.
CapraLab/resources’s past year of commit activity - cosmis Public
COSMIS is a framework for quantifying the mutational constraint on amino acid sites in 3D spatial neighborhoods. The framework currently maps the landscape of 3D mutational constraint on 6.1 amino acid sites covering >80% (16,533) of human proteins.
CapraLab/cosmis’s past year of commit activity - PSB Public Forked from souhridm/PSB
Personalized Structural Biology approach for rare coding variant interpretation, based on protein structural context and MD simulations.
CapraLab/PSB’s past year of commit activity - DiGePred Public Forked from souhridm/DiGePred
Random Forest classifier designed to predict pairs of human genes capable to causing a digenic disease when carrying rare variants simultaneously. DiGePred has been trained using digenic pairs from DIDA and non-digenic pairs from unaffected relatives of individuals with rare undiagnosed disease.
CapraLab/DiGePred’s past year of commit activity
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