Immunology and Biology Resources and Basics
A generic Agent-Based Model (ABM) simulator (very easy to use) (by Christy Warrender and Drew Levin)
(CyCells) http://sourceforge.net/projects/cycells/
Here is a sample definition file and a sample init file. To execute simply download cycells and save the
two files in the same folder and type the following in the command line:
./CyCells -d mys29.def -i mys29.init -t 10000
The -t specifies the number of time steps that it has to run.
The simulation produces a file (test.history) which has the data from the run.
Notes by Dr. Alan Perelson on the immune system
http://sites.google.com/site/neelsoumya/immunology-resources/Perelson_Notes.pdf?attredirects=0
More notes (by yours truly) taken during a lecture in immunology modelling by Dr. Alan Perelson
http://sites.google.com/site/neelsoumya/immunology-resources/Perelson_lecture_immunesystem_modelling.pdf?attredirects=0&d=1
Yet more notes (again by yours truly) taken during a lecture by Dr. Ruy Ribeiro on mathematical modelling of Tcell labelling
http://sites.google.com/site/neelsoumya/immunology-resources/LectureRuyRibeiroTcellLabellingModels.pdf?attredirects=0&d=1
Excellent presentation and compendium on viruses (by Kimberly Kanigel at UNM, zipped file)
http://sites.google.com/site/neelsoumya/immunology-resources/Viruspresentation.ppt.zip?attredirects=0
Great resource on Dendritic Cells
Cell maturation/lineage charts
http://www.healthsystem.virginia.edu/internet/hematology/hessidb/Cell-Maturation-Charts.cfm
Immunology papers (great compendium)
http://www.uiowa.edu/~immuno/classMaterial/
Resources (learning material and code) for artificial immune systems
http://www.artificial-immune-systems.org/index.shtml
Compendium of complex networks papers
http://wiki.cs.unm.edu/pibbs/doku.php?id=introduction_to_complex_networks
2008 Summer School in Immunology (Yale University)
Epidemic and immunological datasets (MIDAS website, link1 and link2)
GWAS (link)
Biology basics (link)
Genetics basics (link)
List of data fitting software
2) EasyFit
3) DEDiscover
4) FUI
5) GRIND
6) SloppyCell