- #1

- 1

- 0

- Thread starter kostismed
- Start date

- #1

- 1

- 0

- #2

- 389

- 0

In computational molecular biology the primary tool is biophysical modeling. A good knowledge of differential equations and stochastic processes should be enough to get started reading the literature in the field.

For computational neuroscience you will also need to understand information theory and have some amount of learning theory to understand a large part of the literature.

- #3

- 1

- 0

At the University of Manchester we teach a range of distance courses in computational biology. The courses are designed for people with a background in the life sciences or in computer science, and we have quite a few students with a medical background. We aim to teach through problem solving, so each of the courses is based around practical problems.

One of our most popular courses has been 'Theory and Applications in Bioinformatics', using Matlab. We used a lot of graphics to explain the methods, and students then designed their own applications in Matlab.

As we now have a new theme in systems biology, we have a new course in 'Mathematics for metabolic modelling'. For this course we are using R, another language for mathematical programming. Again, I think that the graphics in R help people to understand the mathematical concepts.

You can see a list of all our courses here : http://octette.cs.man.ac.uk/bioinformatics/modules/index.html [Broken]

One of our most popular courses has been 'Theory and Applications in Bioinformatics', using Matlab. We used a lot of graphics to explain the methods, and students then designed their own applications in Matlab.

As we now have a new theme in systems biology, we have a new course in 'Mathematics for metabolic modelling'. For this course we are using R, another language for mathematical programming. Again, I think that the graphics in R help people to understand the mathematical concepts.

You can see a list of all our courses here : http://octette.cs.man.ac.uk/bioinformatics/modules/index.html [Broken]

Last edited by a moderator:

- #4

Pythagorean

Gold Member

- 4,210

- 270

stochastic methods (i.e. markov models)

differential equations (and the prerequisite calculus)

matlab programming (or some other common language)

information theory

and will add:

nonlinear dynamics and chaos theory (Strogatz is a good author)

- #5

- 10

- 0

- #6

epenguin

Homework Helper

Gold Member

- 3,795

- 829

People could more helpfully advise if they knew what country you are or will be in.

However when I was last in contact with it (ten years ago ) your chosen general field had good employment outlets as the interdisciplinarity and modelling skills and experience is useful to employers in industry and in government or government-sponsored research (e.g. epidemiology, environmental management etc.). There seems no reason that should have changed. Physiology is a good starting point.

We will probably fling more book titles at you than you can read. However I recommend

*Modeling Dynamic Phenomena in Molecular and Cellular Biology by L. Segel* (an early edition will be OK.) This is specifically written for biologists and contains possibly the biologist-friendliest presentation of basics of how to deal with the typical nonlinear differential equations, indispensable and met all the time. Have been discussed on this site e.g. recently - https://www.physicsforums.com/showthread.php?t=574876&highlight=Hysteresis+steady+states

For a field adjacent in the other direction you might look at

*Physiological Ecology of Animals :*

An Evolutionary Approach

by R. M. Sibly, Peter Calow

A look at this guy's publications suggests a vastness of applicative areas.

http://www.bookfinder.com/author/peter-calow/

However when I was last in contact with it (ten years ago ) your chosen general field had good employment outlets as the interdisciplinarity and modelling skills and experience is useful to employers in industry and in government or government-sponsored research (e.g. epidemiology, environmental management etc.). There seems no reason that should have changed. Physiology is a good starting point.

We will probably fling more book titles at you than you can read. However I recommend

For a field adjacent in the other direction you might look at

An Evolutionary Approach

by R. M. Sibly, Peter Calow

A look at this guy's publications suggests a vastness of applicative areas.

http://www.bookfinder.com/author/peter-calow/

Last edited:

- Last Post

- Replies
- 1

- Views
- 956

- Last Post

- Replies
- 3

- Views
- 2K

- Replies
- 3

- Views
- 2K

- Replies
- 1

- Views
- 882

- Replies
- 6

- Views
- 4K

- Last Post

- Replies
- 40

- Views
- 8K

- Last Post

- Replies
- 5

- Views
- 1K

- Last Post

- Replies
- 7

- Views
- 11K

- Replies
- 12

- Views
- 18K

- Replies
- 1

- Views
- 3K