In this episode, supported by Zymo Research, guest host Georgia Bickerton explores NGS data and how bioinformatic pipelines and workflows can be optimized to make NGS data more accessible. To do this she speaks with Jeffrey Bhasin, Director of Informatics at Zymo Research, who discusses the key issues of reproducibility in bioinformatics, the selection of methods available to analyze different datasets and to investigate different aspects of these data.  

Listen today to discover the techniques available to help increase the portability and reproducibility of fine-tuned bioinformatics workflows and to streamline the application of these workflows. Bhasin also reveals how these 'workflow management' technologies can enable more global, collaborative approaches to bioinformatics workflow construction and begin to increase the automation and accessibility of bioinformatics workflows.

Contents:
Introduction: 00:00-00:55
How the rise of NGS has impacted the field of bioinformatics: 00:55-01:35
Issues of reproducibility in bioinformatics: 01:35-03:50
Using bioinformatics for different data types and different applications: 03:50-06:10
The impact of bioinformatics workflow management: 06:10-08:50
The future of NGS data analysis: 08:50-12:05
Busting overreliance on bioinformatics experts? 12:05-15:05
Closing remarks: 15:05-15:50

Tech Blast | Sculpting bioinformatics workflows for NGS data analysis

And AM not easily impressed by the way...

Tech Blast | Sculpting bioinformatics workflows for NGS data analysis

Taylor & Francis Group