ANU Data Mining Group

POZITIV is a collection of Python modules which implements various sequencing algorithms such as Smith-Waterman and the Pozitiv variant itself. POZITIV are research codes which are under continual development, have been tested on UNIX platforms only and they are not a final out-of-the-box product which will run anywhere for any problem.

The theory of sequencing and POZITIV is presented in the following publication.

• Normalisation of Sequence Alignment Scores
  Hilary S. Booth, John H. Maindonald, Ole M. Nielsen, Susan R. Wilson
  January 2003.
  Paper (pdf, 91 KB)  

Archives (contain all files compressed):

• Version 1.1: pozitiv_1_1.tgz (1.9 MB)

• Version 1.0: pozitiv_1_0.tgz (1.9 MB)

• Version 0.3: pozitiv_0_3.tgz (1.9 MB)

• README
  Gives information on how to install and use POZITIV.

• DOC
  Gives and overview and some documentation on POZITIV.

• LICENSE
  A copy of the GNU General Public License.

Please contact us if you have questions, problems or ideas. All feedback is much appreciated.

Authors

Ole Nielsen (Ole.Nielsen@anu.edu.au)
Hilary Booth (Hilary.Booth@anu.edu.au)
Kevin Ding (Kevin.Ding@anu.edu.au)