Implementation of some similarity coefficients in conjunction with multiple Upgma and neighbor-joining algorithms for enhancing phylogenetic trees [electronic resouce].

By: Language: English Summary language: Arabic Description: P. 607-621Other title:
  • UPGMA تنفيذ بعض معاملات التشابه المقترنة بالخوارزميات المتعددة-لتعزيز أشجار النشوء والتطور neighbor-joining [Added title page title]
Uniform titles:
  • Egyptian poultry science journal, 2010 v. 30 (II) [electronic resouce].
Subject(s): Online resources: In: Egyptian Poultry Science Journal 2010.v.30(II)Summary: Random Amplified polymorphic DNA (RAPD) markers was used to analyze the genetic Structure of five indigenous Egyptian's chicken populations including Fayoumi. Dokki-4. Golden Montazah, Silver Montazah. and El-Salam based on the taxa generated by the analysis of ten RAPD markers. The population genetic distances were estimated by using two cluster algorithms (UPGMA & NJ neighbor-joining) accompanied with ten, similarity coefficients, comprising Jaccard. Sorensen-Diee. Russel & Rao, Rogers & Tanimoto. Simple Matching. Pearson Phi. lance& Williams, Mountford. Michael and Kulchenzky-I. the results demonstrated that for almost all methodologies. The Jaccard and Sorensen-Dice followed by Simple Matching coefficients. Revealed extremely close results because bath of them exclude negative co-occurrences. Due to the fact that there is no guarantee that the DNA regions with negative co-occurrences between two strains are indeed identical, the use of coefficients such as Jaccard and Sorensen-Dice that do not include negative co-occurrences was imperative for closely related organisms along with the NJ neighbor-joining cluster algorithm.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes references.

Random Amplified polymorphic DNA (RAPD) markers was used to analyze the genetic Structure of five indigenous Egyptian's chicken populations including Fayoumi. Dokki-4. Golden Montazah, Silver Montazah. and El-Salam based on the taxa generated by the analysis of ten RAPD markers. The population genetic distances were estimated by using two cluster algorithms (UPGMA & NJ neighbor-joining) accompanied with ten, similarity coefficients, comprising Jaccard. Sorensen-Diee. Russel & Rao, Rogers & Tanimoto. Simple Matching. Pearson Phi. lance& Williams, Mountford. Michael and Kulchenzky-I. the results demonstrated that for almost all methodologies. The Jaccard and Sorensen-Dice followed by Simple Matching coefficients. Revealed extremely close results because bath of them exclude negative co-occurrences. Due to the fact that there is no guarantee that the DNA regions with negative co-occurrences between two strains are indeed identical, the use of coefficients such as Jaccard and Sorensen-Dice that do not include negative co-occurrences was imperative for closely related organisms along with the NJ neighbor-joining cluster algorithm.

Summary in Arabic.

1

There are no comments on this title.

to post a comment.

Home | About ENAL | Collections | Services | Activities | Calendar | Contact us

7 Nadi El Sayed St., Gizah, Egypt | Phone: +02-33351313 | Fax: 202 33351302 | Email: enalegypt@gmail.com