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Biology meets programming: Bioinformatics 101 for NGS researchers

This webinar is brought to you by the Science/AAAS Custom Publishing Office

Biology meets programming: Bioinformatics 101 for NGS researchers

13 May 2020

12:00 p.m. ET

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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.

Speaker bios

Alberto Riva, Ph.D.

University of Florida
Gainesville, FL

Dr. Alberto Riva is the scientific director of the Bioinformatics Core of the Interdisciplinary Center for Biotechnology Research at the University of Florida (UF), and a member of the Biostatistics & Quantitative Sciences Shared Resource of the UF Health Cancer Center. He is an expert in the analysis of next-generation sequencing (NGS) data and in the development of software tools and pipelines to support research projects. He is the author of over 60 peer-reviewed publications in bioinformatics, computational biology, medical informatics, and intelligent data analysis. He was a pioneer in designing Web applications for telemedicine and intelligent data analysis. After working on probabilistic reasoning for biomedical applications and patient data security, he shifted his research interests to bioinformatics in the early 2000s, developing some of the first web-based tools to explore genetic variation and transcription factor binding in the human genome. Since then, Dr. Riva has introduced several stand-alone tools for methylation analysis, multifactorial association studies, alternative splicing analysis, and general sequence analysis, most of which are freely available to the academic research community.

David Guttman, Ph.D.

University of Toronto
Toronto, Canada

Dr. David Guttman is a professor and associate chair for research in the University of Toronto Department of Cell & Systems Biology, and founder and director of the Centre for the Analysis of Genome Evolution and Function. He leads a multidisciplinary program that has generated novel insights into pathogen evolution and how natural genetic diversity governs host–microbe interactions. His studies of the global genetic diversity of bacterial species; long-term evolution of pathogens to new hosts; short-term adaptation of pathogens during the course of disease development; and how pathogen virulence factors evolve and interact with the host immune system to determine the outcome of host–microbe interactions, have transformed our understanding of pathogen–host specificity and how hosts respond to the relentless challenge of pathogen attack.

Jackie Oberst, Ph.D.

Washington, DC

Dr. Oberst did her undergraduate training at the University of Maryland, College Park, and her Ph.D. in Tumor Biology at Georgetown University, Washington D.C. She combined her interests in science and writing by pursuing an M.A. in Journalism from the Philip Merrill College of Journalism at the University of Maryland, College Park. Dr. Oberst joined Science/AAAS in 2016 as the Assistant Editor for Custom Publishing. Before then she worked at Nature magazine, the Howard Hughes Medical Institute, The Endocrine Society, and the National Institutes of Mental Health.

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