This week, more than thirty researchers and students from the Louisiana Biomedical Research Network member campuses participated in the hands-on RNA-Seq workshop. The event was organized jointly by Pine Biotech and LBRN and was held at the LSU Center for Computation and Technology in Baton Rouge.
Before the workshop (see the video recording here), participants completed the online courses developed to prepare biologists for in-depth hands-on data analysis. These online courses on Transcriptomics cover processing raw sequence files and converting them to a table of expression (Transcriptomics 1), applying statistical methods and visualizing multi-dimensional datasets (Transcriptomics 2) as well as utilizing supervised and unsupervised machine learning techniques for data analysis and extraction of biologically meaningful signals from noisy data (Transcriptomics 3).
During the 2-hour workshop, all participants had a chance to apply the acquired skills and understanding to a new dataset. Together, we learned how to go from raw FASTQ files to biological interpretation using standard processing pipelines, additional normalization and data exploration tools, training a supervised machine learning classifier and analyzing results with gene ontology and Gene Set Enrichment Analysis tools.
This RNA-seq training module is the first out of 6 planned modules for this academic year. All of the online materials are prepared in collaboration with bioinformatics specialists from Tauber Bioinformatics Research Center and other faculty from renowned US and international academic institutions. The program is designed for accessibility with non-technical users in mind. This user-friendly bioinformatics hands-on experience is made possible by utilizing the T-BioInfo analytics platform for multi-omics data analysis.
To help program administrators and faculty evaluate participant engagement, we provide detailed reporting on the utilization of the platform, time spent on lessons and quizzes, as well as assignment completion and workshop participation. This real-time data collection provides a detailed view of the program progress, utilization of resources and evaluation of the situation at cohort, group and individual levels.
About Pine Biotech:
Pine Biotech provides technical solutions for education and research in the field of bioinformatics. We help with training program development, curriculum customization and offer technical solutions. Our team can provide robust research support and advise educators to help engage students and faculty with bioinformatics. If you’d like to learn more about our team, please visit: pine-biotech.com. More information on our training and educational solutions, go to edu.t-bio.info.