Timeline for What are the areas a student must focus before entering the computational biology research?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 11, 2014 at 1:18 | vote | accept | dexterdev | ||
| May 10, 2014 at 19:22 | answer | added | alarge | timeline score: 1 | |
| May 8, 2014 at 15:41 | comment | added | Ronaldo Carpio | i'm no expert, but it might be useful to google for class syllabi, textbooks, homework assignments, etc that are currently being taught in comp. biology classes. | |
| May 8, 2014 at 15:36 | comment | added | James | I think learning about data structures comes organically from learning to program. By learning a language like c++ or python for example, you will come across data structures like lists/linked lists, arrays, vectors, structures, creating classes etc. How sparse matrices are efficiently stored is also important. As far as algorithms, I think in addition to the ones I already mentioned specific to linear algebra, sorting algorithms (i.e. quick sort) are pretty standard material as are learning about binary trees. | |
| May 8, 2014 at 14:04 | comment | added | dexterdev | OK. But what about algorithms and datastructures? Have any idea? | |
| May 8, 2014 at 13:49 | comment | added | James | I am not in computational biology, but given that this program involves computation, I would suggest basic numerical linear algebra (i.e. direct and iterative solvers, finite differences, SVD, LU, fast fourier transform, root finding algorithms etc) as a starting area. Additionally some minimal amount of computer programming in Matlab, R, or python would likely be useful. | |
| May 8, 2014 at 10:28 | review | First posts | |||
| May 8, 2014 at 15:50 | |||||
| May 8, 2014 at 10:11 | history | asked | dexterdev | CC BY-SA 3.0 |