The rapid growth of high-throughput data, including -omics technologies, gave rise to a significant demand for data science skills and experience with bioinformatics methods of analysis. To help introduce biologists, clinicians and students to cutting edge bioinformatics methods and commonly used data science concepts, our team designed an online bioinformatics training program called OmicsLogic. This online program is built to explain the logic of bioinformatics analysis and allow for a user-friendly applications of bio-statistical and machine learning techniques to a variety of biomedical challenges. The online program focuses on a variety of methods applied to specific types of data (genomic, transcriptomic, metagenomic) and utilized in relevant projects sources from public domain data.
Session Topics: High throughput data experiments, challenges and opportunities in biomedical research Program resources
Session Topics: Processing NGS Data (from raw data to structured data), Standard tools and concepts for genomics, transcriptomics, epigenomics, metagenomics. Use of NGS in...
Session Topics: Summary Statistics Mean, Median and Standard Deviation Histograms and Distribution
Session Topics: Boxplots, Histograms, Scatterplots Distribution and Lognormal Distribution Quantile Normalization
Session Topics: Least error Predictive model Fitting a regression line Factorial analysis
Session Topics: Genome visualization Circle maps Cluster and interaction networks
Session Topics: Curse of dimensionality Features, Objects and loadings Principal Component Analysis Improving Visual Representation of PCA using R
Session Topics: Distances and boundaries K-means, Hierarchical and DB-scan Heatmaps and Hierarchical Clustering
Session Topics: Binary Decision Trees Random Forest Random Forest Multi-run
Session Topics: LDA, QDA, swLDA Support Vector Machines Deep Learning
Session Topics: Oncology Projects and biomedical research MODELING PRECISION MEDICINE STUDYING NETWORKS OF CANCER REGULATION IN PATIENTS
Session Topics: Infectious Diseases and Microorganisms Tuberculosis and Drug Resistance Ebola outbreaks in West Africa
Session Topics: Choosing a project and finding data Defining goals and variables Loading the datasets
Session Topics: Data processing Analysis Plan Discussion