|Date & Time||22 March 2022 at 17:00-18:00 CET|
The MAQC Society is pleased to announce a new series of SEQC2 (Sequencing and Quality Control Phase 2) Webinars addressing the many challenges of analysis of massive datasets that come from Next-Gen Sequencing (NGS). This year, in 2022, MAQC offers a new webinar series on diverse topics related to NGS: copy-number pathogenicity, structural variation detection, use of internal standards and synthetic controls for variant detection, formalin-fixation impacts, and general reproducibility challenges.
On 22 March the webinar is titled: “X-CNV: Genome-wide prediction of the pathogenicity of copy number variations”. The speaker is Dr. Zhichao Liu, Ph. D, Artificial Intelligence Research Force (AIRForce) Technical Leader at Division of Bioinformatics & Biostatistics, FDA/NCTR. Dr. Liu’s background spans the fields of chemistry, biology, and computer science. He led many cutting-edge projects in the past decade by designing, implementing, and deploying AI/machine learning solutions for advanced regulatory sciences. Specifically, Dr. Liu unleased the AI/machine learning solutions for improving the pathogenicity prediction of complex genetic variants, promoting predictive toxicology and facilitating precision medicine applications. His accomplishment was reflected by 5 FDA-wide Awards, 9 NCTR level Awards, 2 Scientific community level awards, and more than 80 peer-reviewed publications.
Check out the other 5 webinars as well:
- 22. March 2022 – Zhichao Liu X-CNV: genome-wide prediction of the pathogenicity of copy number variations
- 29 March 2022 – Yongmei Zhao Exploring best practices for structural variation detection in a cancer reference sample with multiple NGS platforms (LINK)
- 5 April 2022 – James C. Willey Advancing quality-control for NGS measurement of actionable mutations in circulating tumour DNA (LINK)
- 12 April 2022 – Joshua Xu Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples (LINK)
- 19 April 2022 – Tim R. Mercer Resolving the complexity of the human genome using synthetic chromosomal controls & Building a synthetic genome that encodes DNA, mRNA and protein controls (LINK)
- 3 May 2022 – Fritz Sedlazeck Hidden biases in germline structural variant detection (LINK)