ABB  Vol.3 No.4 , August 2012
SSDNA cutter v0.0 a new in silico RFLP tool in C
Abstract: Summary: SSDNA Cutter v0.0 is a new in silico RFLP tool written in C. It has a significant utility in studying population diversity as it has the capability of restriction digestion of a group of linear DNA se-quences and then segregate the restriction patterns into separate groups as per similarity in the restriction maps. The software has an inbuilt database for 20 restriction enzymes and it is flexible so that the user can add up to 100 more restriction enzymes to the list. The interface is easy, simple and interactive which enables the user to obtain restriction pattern groups which are quite similar to Operational Taxonomic Units obtained from phylogenetic trees. Availability: The software and the source code is currently available from the authors on request without any cost. We intend to release it in a public domain soon. SSDNA Cutter v0.0 is licensed under the GNU General Public License.
Cite this paper: Chakravorty, S. , Samui, S. and Gachhui, R. (2012) SSDNA cutter v0.0 a new in silico RFLP tool in C. Advances in Bioscience and Biotechnology, 3, 321-323. doi: 10.4236/abb.2012.34046.

[1]   Ficker, M., Krastel, K., Orlicky S. and Edwards, E. (1999) Molecular Characterization of a Toluene-Degrading Methanogenic Consortium. Applied Environmental Microbiology. 65, 5576-5585.

[2]   Wei, W., Davis, R. E., Lee I. M. and Zhao, Y. (2007) Computer-simulated RFLP analysis of 16S rRNA genes: identification of ten new phytoplasma groups. International Journal of Systematic and Evolutionary Microbiology. 57, 1855–1867.

[3]   Wei, W., Lee, I. M., Davis, R. E., Suo X. and Zhao, Y. (2008) Automated RFLP pattern comparison and similarity coefficient calculation for rapid delineation of new and distinct phytoplasma 16Sr subgroup lineages. International Journal of Systematic and Evolutionary Microbiology, 58, 2368–2377.

[4]   Vincze, T., Posfai, J. and Roberts, R. J. (2003) NEBcutter: a program to cleave DNA with restriction enzymes. Nucleic Acids Research, 31, 3688-3691.