Em-DeCODER Beta-test Version Userís Agreement


Department of Statistics

Harvard University


This is beta testing version of EM-DeCODER, a haplotype inference program. A sample input and output file format can be seen at the following links: input , output . It is free for both academic users and commercial users. After filling in the information at the bottom of this page and clicking "I agree", you will be linked to the download page.

This program may not be redistributed, decompiled, or reverse engineered in any manner. It is provided ďAS ISĒ and any expressed or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose, are disclaimed. In no event shall the authors or the Harvard University be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this program, even if advised of the possibility of such damage.

This document contains the entire agreement and understanding concerning the subject matter between Licensee and Harvard, and no term or condition hereof may be modified except by a subsequent writing executed by both parties.

By using the program, the user agrees to:

(1) Provide bug reports, suggestions or function requests.

(2) Cite the main reference paper if results obtained from EM-DeCODER are used in manuscripts:

Niu, T., Qin, Z.S., Xu, X., and Liu, J.S. (2002) Bayesian haplotype inference for multiple linked single-nucleotide polymorphisms. Am J Hum Genet. 2002 Jan;70(1):157-69. Abstract

Another program developed for the paper-HAPLOTYPER, which is able to handle much more SNP loci (up to 250), allow missing genotype data, and provide more accurate and detailed result, is also available upon the signing of a agreement. For details, please click here


Steve Qin (qin@stat.harvard.edu)
Jun S. Liu (jliu@stat.harvard.edu)

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