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Violeta - Experienced computational biologist with a passion for developing tools and methodology to interpret and characterize genomic data, for the development of novel individualized cancer diagnostics and therapeutics.
Open to new opportunities
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Open to new opportunities

Violeta

Experienced computational biologist with a passion for developing tools and methodology to interpret and characterize genomic data, for the development of novel individualized cancer diagnostics and therapeutics.
Johns Hopkins University • Baltimore • United States of America

Skills and expertise

Fields of interest
  • WGS analysis
  • WES analysis
  • Protein interaction analysis
Languages
  • English
  • German
  • Russian
  • Spanish
Programming languages
  • C++
  • Cython
  • Fortran
  • Java
  • MATLAB
  • Python
  • R
  • Shell (Bash)
  • Wolfram

Fields of interest

WGS analysis
Optimizes the global minimal genetic distance in a given population. MITOMIX…
Identifies non-tandem repeats and enables analysis of mitochondrial sequences…
Corrects long read hybrid errors. HG-CoLoR combines both (i) the idea to…
WES analysis
Assists users in processing and similarity searching of next-generation…
Provides a high-risk pedigrees (HRP) method. SGS recognizes segregating…
Permits visualization and annotation of copy number variations (CNVs) analysis…
Protein interaction analysis
Provides a method based on fractal theory to count motifs in biological…
Allows atomic-level, sequence-order independent comparison of ligand molecule…
Allows global pairwise network alignment of protein-protein interactions (PPI)…