IGERT NIMBIOS NSF
 
Do HIV-1 Sequence Trees have similar structures in AIDS Paitients?
 
 
Authors          Audiences          Overview           Materials          Resources           Future Directions
 

 


Authors


Semen Koksal
Florida Institute of Technology


Elif Demirci
Florida Institute of Technology


Jossie V. de Varona
Universidad Interamericana de Puerto Rico

 
   
 


Possible Audiences:

Everyone  

 
 


Brief Overview:

We looked at the subjects whose CD4 Counts continuously decreased as the number of visits increased. For each subject, the visit when CD4 Count was below 200 was included to our data set. This criterion yielded six (out of fifteen) subjects in this data set. Using Biology WorkBench, un-rooted trees of HIV-1 sequences at the chosen visits were created. In addition, distance matrices of these sequences were calculated and the maximum and minimum distances were identified to recognize the patterns in the structures of the sequences. Our hypothesis was that there is a similarity pattern in the trees of HIV-1 sequences of the subjects who developed AIDS. Based on our findings, we have concluded that the performed analysis is not enough to prove or disprove the hypothesis.  

 
   
 


Project Materials:

HIV-1 Problem Space Sequence Data using Nucleotide sequeneces for the six subjects that were diagnosed with AIDS based on the CD4 count.  

 
 


Resources and References:

1. Biology Workbench-San Diego Super Computer Center http://workbench.sdsc.edu/
2. John R. Jungck, Marion Field Fass, Ethel D. Stanley (2003) Microbes Count! BioQUEST Curriculum Consortium  

 
   
 


Future Directions:

Different mathematical and statistical methods can be combined with biological findings to better perfom pattern recognition of the chosen data set.  

 
 


Attachments


- HIV workshop20091.ppt