The explosion of next-generation sequencing (NGS) platforms has resulted in the need for statistical methods and bioinformatics tools to keep pace with analysis and management of the large amounts of data generated by these technologies. This webinar workshop is ideal for bench and research scientists who have little or no bioinformatics background and are new to NGS data, particularly DNA-seq, RNA-seq, and chromatin immunoprecipitation (ChIP)-seq.
The webinar will introduce bioinformatics approaches, tools, and pipelines for computational analyses of NGS data. We will also discuss how including a bioinformatician in the early planning stage of NGS experiments can (1) ensure the desired degree of statistical robustness and (2) extend the useful lifespan of NGS data by considering how researchers may return to the same datasets to answer new questions.
Strategies, methods, and workflows used for analyses of NGS data will also be covered, including mapping to reference genomes, feature extraction, and statistical analysis. In addition, the biological interpretation of output from such analyses will be presented as case studies.
During this webinar, the audience will:
- Learn about the bioinformatics approaches used for the variety of tasks involved in NGS
- Gain a better understanding of the pipelines used to analyze NGS data
- Acquire new tools for more robust design of NGS experiments
- Have the opportunity to ask questions during the live broadcast.
This webinar will last for approximately 60 minutes.