Outline

Implement standardized laboratory protocols for RNA extraction, library preparation, and sequencing, ensuring consistency and reproducibility • Configure and operate laboratory equipment, such as automated RNA extractors and library preparation platforms, to optimize workflow efficiency • Develop and implement quality control measures to monitor RNA integrity, library quality, and sequencing performance

Outline

Apply bioinformatics tools, such as FASTQC and Trim Galore, to assess and improve RNA-seq data quality • Configure and run computational pipelines, including alignment, quantification, and differential expression analysis, using tools like HISAT2 and DESeq2 • Interpret and visualize bioinformatics results, including gene expression profiles and differential expression analysis, using tools like R and Bioconductor

Outline

Design and develop well-controlled experiments, including power analysis and sample size determination, to address specific research questions • Evaluate and select appropriate statistical methods and tools for data analysis, taking into account factors such as data distribution and experimental design • Develop and implement data management plans, including data storage, backup, and sharing, to ensure data integrity and accessibility

Outline

Apply advanced library preparation techniques, such as single-cell RNA-seq and chromatin immunoprecipitation sequencing, to study specific biological systems • Develop and implement customized bioinformatics pipelines, using tools like Python and R, to analyze and interpret complex transcriptomic data • Integrate transcriptomic data with other omics data types, such as genomics and proteomics, to gain a more comprehensive understanding of biological systems

Outline

Evaluate and implement regulatory requirements, including IRB approval and informed consent, for human subjects research • Develop and implement laboratory safety protocols, including biosafety level 2 practices and chemical hygiene plans, to ensure a safe working environment • Apply bioethical principles, including respect for persons and beneficence, to ensure responsible and ethical conduct of research

Outline

Analyze and discuss current industry applications of transcriptome library preparation and data analysis, including pharmaceutical and biotechnology research • Develop and implement career development plans, including networking and professional development opportunities, to pursue careers in transcriptomics • Evaluate and present case studies of successful transcriptomics research, including experimental design, data analysis, and interpretation