 | Lecture and Hands-on Interactive Training |
 | Team taught by active researchers |
 | Thumbnail drive with Lectures and Workshop material |
 | Space limited to 18 participants |
 | Registration Fee: $995 |
Course Director
This 5-day workshop combines a unique mix of hands-on wet bench and computational laboratory experiences with a series of lectures spanning an introduction to the concepts of RNA sequencing and the analysis of the data generated to the applications of these approaches to understand critical biological and/or biomedical processes and problems. By the end of the program, attendees will have had hands-on experience with RNA sample preparation and differences in sample integrity, a deep understanding of RNA library creation and optimization, and processing of RNA sequences from raw fastq to differential expression with the most current software using cloud computing to analyze real-world datasets from brain samples and knock-out cell lines.
- Review of NGS and Illumina Technologies
- RNA Library Preparation and Quantification
- Experimental Design
- QC, Trimming, alignment, and quantification
- Introduction to Differential Expression and Splicing Tools
- Experiment Zoo: Experience across over 100 RNAseq experiments
- Introduction to variant calling tools
- Public DataSets
- Public Computational Resources
- Advanced Topics in RNA-Seq
- Fastqc
- Multiqc
- Trimmomatic
- hisat2
- samtools
- featureCounts
- Introduction to R and Rstudio cloud
- Deseq2
- Enrichment analysis
- Picard
- GATK
Dr. Allissa Dillman is the founder and CEO of BioData Sage LLC, a company focused on providing a holistic approach to data science integration in the biomedical and biological science fields. Dr. Dillman offers data science strategic planning, including the usage of appropriate tools, platforms, datasets, and reproducible practices. BioData Sage works with clients in industry, academia, government, and the nonprofit sector, creating and supporting training programs on data science, cloud computing, and the tools and standards for reproducible data science practices for scientific and lay communities.
Dr. Dillman worked at NIH for over 10 years and most recently served as the workforce development and community engagement lead for the Office of Data Science Strategy (ODSS). She built and executed data science integration programs bringing in undergraduates through mid-level data scientists to tackle NIH’s complex data ecosystem. Allissa has focused specifically on lowering the barriers of entry for data science and cloud computing by building train-the-trainer programs for STEM educators from low-resourced schools and facilitating data science training programs for students at HBCUs, MSIs, and HSIs. She has coordinated and participated as a judge, mentor, and team lead in over 50 hackathons in academia, industry, government, and nonprofit sectors. Dr. Dillman has contributed to over 50 scientific publications and has a long-standing research interest in using bioinformatic tools and data science techniques to answer a wide variety of biological questions. Dr. Dillman received her Ph.D. in computational neuroscience as part of the graduate partnership program between NIH and the Karolinska Institute, Sweden, in 2014.
At Bio-Trac, Dr. Dillman directs a Next Generation Sequencing workshop; co-directs several workshops including “R for Research Scientist” and “RNA-Seq: Principles, Methods and Computational Analysis” as well as an active instructor in the Single Cell RNA-Seq workshop.
 | Lilly Shatford-Adams Lilly Shatford-Adams is a current NIH Post Bacc IRTA research fellow at the National Institute of Child and Human Development (NICHD) Bioinformatics and Scientific Programming Core. She conducts next-generation sequencing bioinformatics analysis, supporting 65+ NICHD labs with their computational projects. Lilly received her B.S. in Biology from Doane University, and brings forth an interdisciplinary skillset from both the biological and computational sciences. She has conducted both computational and wetlab research at the University of Georgia (UGA) and Karlsruhe Institute of Technology (KIT). At UGA, she developed an image processing pipeline to analyze plant roots to identify genes associated with growth-related phenotypic traits. Her current research interests include transcriptomics, pipeline building, and bioinformatics outreach. Outside of the lab, Lilly is involved in assistant teaching, one-on-one mentoring, and volunteering. |
 | Matthew "Tyler" Menold Tyler earned his B.S. in Biology from the University of Massachusetts Boston. His research experience, under the mentorship of Dr. Richard Humber, involved working with two species of entomopathogenic fungus to assess their potential as natural pesticides. An online programming course from Stanford University sparked Tyler's interest in computational work, particularly in computational biology. Post-graduation, Tyler pursued a second degree in Computer Science from the University of Oregon, which he plans to complete alongside his two-year post-baccalaureate fellowship. Tyler aims to apply to a Ph.D. program in Bioinformatics and, in the long term, aspires to head a research group. |
 | Ryan Dale, PhD Scientific Information Officer & Bioinformatics Core Director at NIH/NICHD Dr. Ryan Dale leads the bioinformatics and scientific programming core that supports the research of 60+ labs across the National Institute of Child Health and Human Development and act as liaison between researchers and IT to ensure institute-wide technical support for scientific hardware, software, and data. |
 | Beryl Slezak Illumina Senior Field Application Scientist Beryl Slezak is a field application scientist for Illumina based out of Washington DC. Beryl has been with Illumina for 7 years, starting as a technical support scientist in San Diego California. Four years ago, Beryl moved out to DC to support customers in the DMV as a field scientist and recently has been specializing in single-cell sequencing. |
 | Nicholas Johnson, MS Biomedical Data Scientists Data Tecnica International |
