What will you learn from this webinar?
Dr Tang will give a comprehensive introduction and live demo of the Dr. Tom system, showcasing some of its key functionality and advantages.
– Expression Analysis
– Gene Set Enrichment Analysis
– Association Analysis
– Referencing Ontological Information Across Multiple Databases
– Data Mining
What Will You Learn from This Webinar?
– what we know of the genetic diversity of the virus from evolutionary analysis
– current SARS-CoV-2 databases and resources
– common challenges in infectious disease genomics research
– practical guidance regarding coverage and sampling protocols for relevant sequencing solutions, including:
• whole genome sequencing
• single cell sequencing
• metagenomics sequencing
– how sequencing can be applied for vaccine development, drug R&D and clinical research.
In this webinar, you will learn:
– what types of RNA sequencing are there and which is right for what research.
– common questions and quality challenges with RNA sample preparation.
– what RNA library types are there.
– RNA data analysis: common needs and BGI’s bespoke solution.
In this webinar, you will learn:
– an overview of the main omics fields, including genomics, transcriptomics, proteomics and metabolomics
– an introduction to the concept of multi-omics and the main research areas that benefit from a multi-omics approach
– case studies based on two key BGI papers within the fields of proteomics and metabolomics covering plant novel gene annotation and human obesity research respectively
– bioinformatics challenges and best practice for multi-omics research
In this webinar, you will learn:
– common quality challenges with DNA sample preparation for WGS
– what level of coverage is needed for what WGS research goal
– common questions regarding WGS bioinformatic analysis and the options available
– the advantages of different WGS strategies including:
low coverage WGS for GWAS projects
long fragment read WGS for greater insight
In this webinar, you will learn:
– the principles of RNA data analysis, frequently used approaches and tools
– an overview of useful RNA databases and resources for data analysis
– how to create common data analysis figures and visualisations for standard analysis using the Dr. Tom System
(specific analysis approaches to RNA based oncology research illustrated using two case studies)
– the advantages of BGI’s Dr. Tom System for medical research