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Wen Wang - Computational Biologist
Open to new opportunities
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Open to new opportunities

Wen Wang

Computational Biologist
University of Minnesota System • University of Minnesota • Minneapolis • United States of America

Skills and expertise

Fields of interest
  • WGS analysis
  • aCGH data analysis
  • Protein interaction analysis
  • Chinese
  • English
Programming languages
  • Python
  • R





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Allows users to locate coherent sets of single-nucleotide polymorphisms (SNP)-SNP interactions included in genome-wide association studies (GWAS) cohorts. BridGe focuses on two structures: “between…

Fields of interest

WGS analysis
Allows long read alignment to large reference genomes by splitting the index…
Provides an online platform for collecting, managing, analyzing, visualizing…
Assists users in association mapping of pair-wise traits. iMAP is a mixture…
aCGH data analysis
Consists of a Bayesian, unsupervised, integrative clustering model for…
Permits user to work on segmentation of genomic and epigenomic profiles. iSeg…
Enables spatial mapping of RNA-seq transcript data onto high resolution tissue…
Protein interaction analysis
Produces vector space embeddings. This method combines data from literature and…
Computes small molecules’ torsional potential energies. H-TEQ can be used for…
Integrates existing data on proteins in budding yeast. GEMMER is a web-based…