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BSBT6110: Introduction to Biocomputing

This course provides students with hands on experience in basic computation, database, and programming skills set as a preparation for a higher-level data analysis course. The students will start by learning the fundamental of data science; database management, data structure, data representation, data visualization, and data analysis. Once they have a good grasp of these concepts, they will learn to program these abstractions using command line interface software such as shell scripting, SQL, R and RStudio. At the completion of the course, students will be able to reimplement a computational pipeline from a published journal using the reproducible research paradigm.
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Annual AACR Wrokshop: Molecular Biology in Clinical Oncology

An intensive workshop on the latest development in molecular biology relevant to clinical oncologist pursing the desire to bridge the gap as physician-scientists. I am hosting the Next Generation Sequencing data analysis workshop

I hosted a RNA-seq analysis session using the GUI tools SeqMonk. My Slide, Protocal and Dataset can be downloaded befow.
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University of Zimbabwe Medical School PRICE – Promoting Research through ICT Excellence

The primary goal of PRICE is to establish such resources at University of Zimbabwe in collaboration with University of Colorado Denver and the Children’s Hospital of Colorado of the 3 years of the award. I am teaching Genome Wide Associate Study (GWAS) for this workshop
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BIOS6660: Biomedical Big Data Analysis with R

This course provides students with hands on experience in solving real life biological problem using the statistical software R and its companion packages from the Bioconductor consortium. The students will have an opportunity to work with participating researchers and clinicians in finding practical solutions for case studies in both the statistical and biological perspective. Students will also learn to communicate with the scientists and interpret the results in the biological context
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BIOS6606: Guest Lecture: Microarray Data Analysis

This is guess lecture for BIOS6606 where I will give students an overview of the full data analysis workflow for Microarray Dataset.
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CLSC 7500: Bioinformatics Tools in Context

Every year I guest lecture for John Tentler for his course (CLSC 7500) for graduate students introducing various Bioinformatics tools that are useful for their day to day research career
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5X5 is an innovative video learning system that deliver 5 thins about a topic in 5 minutes. The topics ranging from Bioinformatics to Clinical Sciences.
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NHLBI: Genomic and Proteomic 10 Day Workshop

NHLBI supported hands on Genomic and Proteomic 10 days workshop (2007 - 2010), hosted by the University of Colorado Medical Campus. I am the core lecture for the Bioinformatics sections, including
  • Microarray gene expression analysis using BRB-ArrayTools
  • Pathway analysis using Gene Set Enrichment Analysis (GSEA)
  • Biological nomenclature using Gene Ontology
  • Next Generation Sequencing analysis using GALAXY
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Introduction to Bioinformatics for Undergraduate

Initiative for Maximizing Student Diversity (IMSD) is an effort to give promising under-graduate students an early start in research. The course is designed to give student a high level view of Bioinformatics, its importance and impact to society and a potential career in the field
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CPBS 7792: Next Generation Phenotype

As a co-instructor, this course provide students in computational bioscience with the knowledge and tools to understand the challenges and methods for characterizing human phenotypes and clinical outcomes, and to understand the impact of imprecision classification on genomic research. It will train students in the existing methods of describing human phenotypes, and how to generate those characterizations from available records. The students will gain a better understanding for this emerging clinical field and identify computational opportunities for improving clinical and biological discoveries.