UPGMA

Results: 43



#Item
21Science / Computational phylogenetics / Metabolism / Microbiology / Bioinformatics / Hierarchical clustering / UPGMA / Dendrogram / Neighbor joining / Biology / Phylogenetics / Statistics

Supplementary Information For the article"Comparable system-level organization of Archaea and Eukaryotes" by J. Podani, Z. N. Oltvai, H. Jeong, B. Tombor, A.-L. Barabási, and E. Szathmáry (reference numbers are the sa

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Source URL: www.barabasilab.com

Language: English - Date: 2008-04-11 15:57:25
22Bioinformatics / Linguistics / Historical linguistics / Quantitative linguistics / Maximum parsimony / Phylogenetic tree / UPGMA / Neighbor joining / Lexicostatistics / Computational phylogenetics / Phylogenetics / Science

Microsoft Word - Phylogenetic_Inference_06_DISI.docx

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Source URL: eprints.biblio.unitn.it

Language: English - Date: 2012-02-28 09:24:33
23Molecular biology / Mangoes / RAPD / Alphonso / UPGMA / Cluster analysis / SM EVM / Clone / Dharwad / Statistics / Flora of India / Biology

6. SUMMARY AND CONCLUSIONS The present investigation viz., ‘Clonal variability studies in ‘Alphonso’ mango (Mangifera indica L.) by phenotypic characters and molecular markers’ was carried-out in the Department o

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Source URL: etd.uasd.edu

Language: English - Date: 2014-11-20 10:41:15
24Network analysis / Machine learning / Bioinformatics / K-means clustering / Dendrogram / Cosine similarity / Distance matrix / Consensus clustering / UPGMA / Statistics / Cluster analysis / Hierarchical clustering

S AMPLE CHAPTER Nina Zumel John Mount FOREWORD BY Jim Porzak

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Source URL: www.manning.com

Language: English - Date: 2014-03-25 16:48:38
25Cluster analysis / T helper cell / Memory T cell / CD4 / UPGMA / K-medoids / Sampling / Statistics / T cells / Biology

Azad et al. BMC Bioinformatics 2012, 13(Suppl 2):S10 http://www.biomedcentral.com[removed]S2/S10 PROCEEDINGS Open Access

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Source URL: www.stat.purdue.edu

Language: English - Date: 2013-03-15 17:33:26
26Bioinformatics / Biology / Maximum parsimony / UPGMA / Substitution model / Distance matrices in phylogeny / Molecular evolution / PHYLIP / Computational phylogenetics / Phylogenetics / Science

* Readings: Chapter 6 in Page and Holmes[removed]Molecular Evolution: A Phylogenetic Approach - especially pages[removed]for midterm - scan the sections on quartets Optional: Chapter 11 in Felsenstein (2004)

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Source URL: hydrodictyon.eeb.uconn.edu

Language: English - Date: 2013-10-07 12:16:58
27Population genetics / Phylogenetics / DNA / UPGMA / Integration by substitution / Single-nucleotide polymorphism / Genetics / Biology / Genetic genealogy

Supplementary Table S1 Common bean genotypes for next-generation sequencing Genotype Market Classa Adaptor Avalanch Navy

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Source URL: static-content.springer.com

Language: English
28Population genetics / Phylogenetics / DNA / UPGMA / Integration by substitution / Single-nucleotide polymorphism / Genetics / Biology / Genetic genealogy

Supplementary Table S1 Common bean genotypes for next-generation sequencing Genotype Market Classa Adaptor Avalanch Navy

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Source URL: link.springer.com

Language: English
29UPGMA / Species diversity / Alpha diversity / Diversity index / Species richness / Rarefaction / Beta diversity / Ecology / Dendrogram / Statistics / Measurement of biodiversity / Cluster analysis

Ecology, 90(2), 2009, pp. 341–347 Ó 2009 by the Ecological Society of America Functional-diversity indices can be driven by methodological choices and species richness MARK S. POOS,1 STEVEN C. WALKER,

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Source URL: www.markpoesch.com

Language: English - Date: 2013-06-19 13:24:20
30UPGMA / Species diversity / Alpha diversity / Diversity index / Species richness / Rarefaction / Beta diversity / Ecology / Dendrogram / Statistics / Measurement of biodiversity / Cluster analysis

Ecology, 90(2), 2009, pp. 341–347 Ó 2009 by the Ecological Society of America Functional-diversity indices can be driven by methodological choices and species richness MARK S. POOS,1 STEVEN C. WALKER,

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Source URL: www.markpoesch.com

Language: English - Date: 2013-05-13 13:01:50
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