Application of Bioinformatics in molecular data analysis for Leishmania major vector Phlebotomus papatasi sand fly
| dc.contributor.author | Omar Hamarsheh | |
| dc.date.accessioned | 2017-05-03T09:36:08Z | |
| dc.date.available | 2017-05-03T09:36:08Z | |
| dc.date.issued | 2010-09-26 | |
| dc.description.abstract | <p>Three molecular typing tools: multi-locus microsatellite typing, cytochrome b and internal<br /> transcribed spacer II sequence analysis, have been evaluated using bioinformatics application<br /> for their usefulness to infer population structure of P. papatasi sand flies. Microsatellite<br /> markers showed high resolution power for differentiating globally distributed P. papatasi<br /> populations, whereas analysis of cytochrome. b sequences provided insight into relationships<br /> of closely related populations from the Mediterranean. Population structure, differentiation,<br /> and demographic history among P. papatasi populations are important to understand patterns<br /> of dispersal in this species and for planning appropriate control measures.</p> | en |
| dc.description.abstract | <p>Three molecular typing tools: multi-locus microsatellite typing, cytochrome b and internal<br /> transcribed spacer II sequence analysis, have been evaluated using bioinformatics application<br /> for their usefulness to infer population structure of P. papatasi sand flies. Microsatellite<br /> markers showed high resolution power for differentiating globally distributed P. papatasi<br /> populations, whereas analysis of cytochrome. b sequences provided insight into relationships<br /> of closely related populations from the Mediterranean. Population structure, differentiation,<br /> and demographic history among P. papatasi populations are important to understand patterns<br /> of dispersal in this species and for planning appropriate control measures.</p> | ar |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/9340 | |
| dc.title | Application of Bioinformatics in molecular data analysis for Leishmania major vector Phlebotomus papatasi sand fly | en |
| dc.title | Application of Bioinformatics in molecular data analysis for Leishmania major vector Phlebotomus papatasi sand fly | ar |
| dc.type | Other |
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