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Baohong Zhang - Computational Biology
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Open to new opportunities

Baohong Zhang

Computational Biology
Pfizer (United States) • New York City • United States of America

Skills and expertise

Fields of interest
  • WGS analysis
  • RNA-seq analysis
  • Protein interaction analysis
  • Chinese
  • English
Programming languages
  • Java
  • Javascript
  • Perl
  • PHP
  • Python
  • R






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Advances the automation and visualization of RNA-seq data analyses results. QuickRNASeq is a pipeline that significantly reduces data analysts’ hands-on time, which results in a substantial decrease…

Fields of interest

WGS analysis
Provides a simulation tool of single nucleotide polymorphism (SNP) clusters for…
Serves to ChIP-seq Wig data. Wig is a standard file format, which in this…
Chooses the best gene vectors as biomarkers/features for the classification of…
RNA-seq analysis
Filters spurious variants caused by mouse reads in patient-derived xenografts…
Allows comparison and separation of orthology relationships. CAT uses the…
An artificial neural networks (ANN) framework to predict patient prognosis from…
Protein interaction analysis
Deconstructs drugs effects of interest into basic components. OLSA is a package…
Provides a method for predicting essential proteins. TEO is an algorithm that…
Allows users to predict heme binding residues (HEMEs). For HEMEsPred, several…