Galaxy RNA-Seq Bootcamp: Turn Sequencing Data into Discoveries
Master real-time gene quantification and molecular data analysis in just three days. Elevate your life science research career with the ultimate hands-on qPCR toolkit.
Course Description
Unlock the power of molecular diagnostics with The Gene Expression Toolkit, an intensive 3-day crash course engineered for modern life scientists. Spearheaded by Dr. Shweta Goyal, PhD (Postdoctoral Researcher at the National Brain Research Centre), this program bridges the gap between raw biological data and actionable genomic insights. Participants will master qPCR (quantitative PCR) workflows, from primer design and sample preparation to absolute and relative quantification methods. In today's data-driven biotech landscape, mastering gene expression is a fundamental prerequisite for advanced research in oncology, neuroscience, and infectious diseases. This course focuses heavily on data optimization, troubleshooting experimental flaws, and interpreting high-throughput amplification curves. By integrating theoretical foundations with practical data analysis, you will gain the statistical confidence required to publish in high-impact journals. Transform your laboratory skill set, eliminate trial-and-error bottlenecks, and accelerate your academic or industrial career trajectory in biotechnology.
What You'll Learn
The core molecular mechanisms behind real-time polymerase chain reaction (rt-PCR and qPCR).Advanced strategies for RNA extraction, quality assessment, and high-fidelity cDNA synthesis.How to design, evaluate, and optimize highly specific primers using digital bioinformatics tools.The explicit differences and applications of SYBR Green dye versus TaqMan probes.Step-by-step methodologies for calculating relative gene expression using the $2^{-\Delta\Delta C_T}$ method.Professional troubleshooting techniques to handle primer-dimers, contamination, and non-specific amplification.
Curriculum
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Day 1: Fundamentals of Gene Expression & Primer ArchitectureIntroduction to transcriptomics, MIQE guidelines, and the physics of fluorescence-based detection.Principles of RNA isolation, spectrophotometric quality control, and reverse transcription dynamics.In-silico primer designing workshop: Specificity, melting temperatures ($T_m$), and secondary structures.Day 2: Assay Optimization & qPCR Run ExecutionMaster mix formulation, multiplexing strategies, and reference gene (housekeeping gene) selection.Setting up thermal cycling profiles: Denaturation, annealing extension, and melt curve analysis.Understanding threshold cycles ($C_t$/$C_q$ values) and baseline setups on real-time PCR instruments.Day 3: Data Analytics, Quantitation & TroubleshootingMathematical modeling for gene expression: Relative quantification vs. standard curve absolute quantification.Statistical validation of qPCR datasets, biological replicates vs. technical replicates.Comprehensive troubleshooting clinic: Resolving atypical amplification curves and low efficiency.
Lesson
