Louisiana Tech University LBRN Bioinformatics Training Program
Bioinformatics is becoming a priority for researchers and biology students, however resources easily accessible to students are limited and not well developed for both research and training. Louisiana Tech University recognizes the need for quality bioinformatics training and has partnered with the Louisiana Biomedical Research Network and with Pine Biotech to offer a modern project-based curriculum for qualified students.
Event Details: 1. Goal of the program and introduction 2. Overview of the tools and resources for this program (edu.t-bio.info courses, projects and datasets and the...
Event Details: 1. Why big data in biology (“small data” vs “big data” - high throughput experiments) 2. Data driven vs. hypothesis driven (how can data...
Event Details: (Pre-processing, Alignment and Quantification - RNA-seq example) 1. Role of quality control and re-processing in standard RNA-seq pipelines (Trimmomatic/PCR-clean) 2. Mapping techniques: mapping on transcriptome,...
Event Details: 1. Filtering, removing noise and Normalization Techniques 2. Exploring multi-dimensional data using PCA visualization 3. Principal Components and variance – outliers, filtering, normalization
Event Details: 1. Correlation – detecting correlation of features and factors 2. Clustering of samples using gene expression profiles 3. Clustering of genes by expression profiles across...
Event Details: 1. Detecting SNVs and measuring frequency of mutations (example - Ebola) 2. Somatic Mutations in Cancer 3. Epigenetic regulation in neurodegenerative diseases 4. Multi Omics integration...
Event Details: 1. What is machine learning, categories of methods 2. Regression, factors and features – Factor Regression Analysis 3. Challenges associated with different kinds of machine...
Event Details: 1. Decision Trees, Discriminant Analysis and Support Vector Machines 2. Feature Selection and expanding the list of features 3. Data Visualization
Event Details: 1. Annotation using Gene Ontology 2. Human GAGE: Gene Set Enrichment Analysis 3. Statistical Significance and Reproducibility
Event Details: Participants will be asked to work on the independent project which they can choose from the list of the projects or can work...