The OmicsLogic Transcriptomics program will introduce real-world applications of RNA-seq and provide participants with hands-on skills and logical background to the full RNA-seq analysis approach. We will review methods of quantitative and qualitative analysis of mRNA expression in a sample. Other sessions will focus on how data is generated using Next-Generation Sequencing. Practical sessions will guide participants to use the methods we review on several project datasets to practice generating a table of expression from raw FASTq files and perform subsequent analysis of this table of gene and isoform expression.
Overview of the entire course, Overview of the tools and resources for this program (edu.t-bio.info courses, projects and datasets, and the T-BioInfo Analytics Platform),...
Role of pre-processing in standard RNA-seq pipelines (Trimmomatic and PCR-clean) Mapping techniques: mapping on the transcriptome, mapping on the genome and combined strategies (Bowtie,...
Review Quantification and Generating a table of expression: RSEM, HTSeq, and Sailfish Statistical Analysis: Filtering, removing noise and Normalization Techniques Correlation – detecting correlation...
Introduction to unsupervised machine learning Dimensionality Reduction: PCA, H-Clust, K-means Introduction to Supervised Machine Learning Predictive Analysis: Random Forest, SVM, LDA. Feature Selection and...
Single-cell transcriptomics (SCT) Introduction to SCT, History of SCT, NGS Techniques, Capture techniques, Quantification, scRNA-seq data preparation & Counts, ScRNA data analysis, Publication & projects:...
Planning your project, Q&A sessions, Audio & Video Presentation Case Studies & Publications, Datasets
Review of Project Proposal, Expert feedback for peer review poster presentation
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