| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5132316 | Chemometrics and Intelligent Laboratory Systems | 2017 | 5 Pages |
â¢We discussed different alignment-free methods to provide fast, accurate, and scalable solutions to sequence comparison.â¢To support open-science, facilitate collaboration, and promote research, the platform is implemented as a toolkit using R.â¢The library msktuple includes locational k-tuple, naive k-tuple, CV-Tree, and their ensembles. It is continuously updated.â¢We provided GitHub open-source code: https://github.com/saeidamiri1/msktuple/wiki.
Recently alignment-free sequence comparison methods based on promoter-frequency distance measures have gained popularity. This paper reports on the implementation and validation of several alignment-free sequence analysis methods for representing and quantifying between-sequence distances and sequence variability. The msktuple library includes the following sequence comparison techniques: locational k-tuple, naive k-tuple, CV-Tree, and their ensemble variants. These metrics are used to determine the dissimilarity between sequences using k-letter words. In support of open-science, we provide open-source software, R-scripts, and protocols implementing the new techniques. These tools will support collaboration, enable independent validation, promote result reproducibility and enable tool interoperability.
