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Printable Handouts
Navigable Slide Index
- Introduction
- Computational biology
- Sampling of computational biology (1)
- Reminder: DNA and genes
- Sampling of computational biology (2)
- Bioinformatics
- DNA sequence databases
- DNA sequences in databases
- Protein sequences
- Searching a database
- Genome projects
- Metagenomics
- Genome sequences
- The science of biological information
- FAIR data
- Sampling of computational biology
- Systems biology (1)
- Systems biology (2)
- Complex systems
- Features of complex systems
- The systems biology cycle
- Circadian clock model (1)
- Circadian clock model (2)
- Circadian clock model (3)
- Ecological networks
- Bird and habitat networks
- Spatial scale
- Agent-based models in animal behaviour
- Measuring social association
- What measure to use?
- Sampling of computational biology (3)
- Synthetic biology
- Using biobricks
- Synthetic biology applications
- Biotechnology
- Characteristics of synthetic biology
- iGEM
- iGEM 2010
- iGEM projects (1)
- iGEM projects (2)
- iGEM projects (3)
- Sampling of computational biology (4)
- DNA computing in synthetic biology
- Computing with DNA molecules
- Adleman’s DNA computing (1)
- Adleman’s DNA computing (2)
- More DNA computing
- Computational biology
- Thank you!
Topics Covered
- What computational biology is
- Quick background on DNA and genes
- Bioinformatics
- Systems biology
- Synthetic biology
- DNA computing
- Summary overview and close
Talk Citation
Smith, V.A. (2019, June 30). Introduction to computational biology [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved August 22, 2024, from https://doi.org/10.69645/PQPR3546.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. V. Anne Smith has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Methods
Transcript
Please wait while the transcript is being prepared...
0:00
Hello, I'm Anne Smith.
I am on the Biology faculty at the University of St. Andrews in Scotland.
Today, I'm going to give you a broad overview and
introduction to the topic of Computational Biology.
0:14
When people ask me what I do,
I say I'm a computational biologist.
This is often followed by a bit of a puzzled look and the question what's that,
as you can see the person trying to figure out how
these two things that sound like they're complete opposites can possibly go together.
I typically explain that computational biology is
building models in computers of biological systems.
If the person is particularly interested,
I'll go on and explain that my area is building algorithms which
can discover these models and then help us explain how biological systems work.
At this point, reassured that I'm not somehow programming
a cell or building a computer out of pieces of DNA.
The person usually lets it go.
However, since you're listening to this talk,
I'm going to assume that you are much more interested in the topic.
1:03
I'll tell you a lot more about computational biology.
This is a huge area and I'll barely scratch the surface,
but I'll cover four broad areas.
First is bioinformatics.
This is the area of computational biology that
nearly every biologists will have some passing interaction with,
whether you study rates of enzymatic reactions inside of
cells or drivers of biodiversity in rain forests.
Next, I'll talk about my area,
building computer and mathematical models of biological systems,
often called systems biology.
Then we'll get to those other things that people were reassured that
I didn't do but in fact some people actually do.
Programming cells, an area known as synthetic biology
and building computers out of pieces of DNA, DNA computing.