k-link

k-link is an EST clustering algorithm which mitigates the effect of chimeric sequences by using a variable linkage merging algorithm. The preparation of seed clusters is the responsibility of the user. It is available under the General Public License and comes with absolutely no warranty.

An article describing the methodology has been published,

k-link EST clustering: evaluating error introduced by chimeric sequences under different degrees of linkage Bioinformatics, vol. 25, 2009, Lauren M. Bragg and Glenn Stone

and can be found here

Download

The latest version of k-link is available for download as

• Source package
• Reference Clusters(57Mb) (README)
• Documentation (PDF)

Contact

For questions, comments and bug reports please contact Lauren Bragg.

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