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About Biomedical Basics
Biomedical Basics are AI-generated explanations prepared with access to the complete collection, human-reviewed prior to publication. Short and simple, covering biomedical and life sciences fundamentals.
Topics Covered
- NGS Fundamentals
- NGS vs Traditional Sequencing
- Major NGS Technologies
- NGS Laboratory Steps
- NGS Applications
- NGS Data Analysis
- NGS Challenges and Impact
Talk Citation
(2025, December 31). Next-generation sequencing (NGS) [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 31, 2025, from https://doi.org/10.69645/NWBX7711.Export Citation (RIS)
Publication History
- Published on December 31, 2025
Financial Disclosures
A selection of talks on Infectious Diseases
Transcript
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0:00
This session centers on next
generation sequencing, NGS,
offering a structured look at
the fundamental principles and
major technologies behind
next generation sequencing,
highlighting how it differs
from traditional approaches.
We will discuss common
platforms like lumina, PAC Bio,
and Oxford Nanopore,
as well as the key
laboratory steps involved
in sequencing workflows.
Applications of NGS in
research and clinical
settings will be explored,
along with an overview of
the bioinformatics
processes required
to analyze sequencing data.
Finally, we will address
current challenges and
the profound impact of NGS on
genomics and biomedical science.
Next generation sequencing or
NGS refers to a set of
technologies that enable rapid,
high throughput sequencing
of DNA and RNA.
Unlike traditional
SAGA sequencing,
which could sequence only
one DNA fragment at a time,
NGS can generate
millions or billions
of sequences in parallel.
This has greatly
increased sequencing
speed, reduced costs,
and open new possibilities
in research and
clinical practice,
making NGS central to
genomics and diverse
biological studies.
Several NGS technologies
are used today,
each with distinct
chemistry and strengths.
The lumina platform is most
widely adopted using sequencing
by synthesis to generate
massive numbers of
accurate short reads.
Other options like PAC Bio
provide long read sequencing,
improving assembly and
detection of complex variants.