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seqlinkage matlab function  (MathWorks Inc)


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    MathWorks Inc seqlinkage matlab function
    Seqlinkage Matlab Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/seqlinkage matlab function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    seqlinkage matlab function - by Bioz Stars, 2026-04
    90/100 stars

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    MathWorks Inc seqlinkage matlab function
    Seqlinkage Matlab Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/seqlinkage matlab function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    seqlinkage matlab function - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc matlab function seqlinkage
    Adaptive radiations ( a , e and i ), trait distributions at evolutionary time 5000 ( b , f and j ), phylogeny ( c , g and k ) and fitness landscape at time 5000 ( d , h and l ) for simulations with species niche widths (σ con ) being set to 0.1 ( a – d ), 0.3 ( e – h ) and 0.5 ( i – l ). Each simulation was seeded with one monomorphic competitive population with a trait value equal to zero. Simulations were run for 5000 evolutionary time steps where each time step involves potential invasions of mutants and equilibrium population size computation. Community dynamics on both ecological (population dynamics) and evolutionary (macro-evolutionary dynamics) time scales are dictated by the consumer-resource and consumer-consumer trait matching as well as niche width and resource availability. Blue lines in a,e and i shows the resource distribution (second y-axis). Model parameters that were kept constant for the simulations were: K 0 = 10,000; σ K = 1; r = 1; µ = 0.01; σ µ = 0.02. Phylogenetic trees were constructed using data on the distance to the nearest common ancestor between the species at the 5000th simulation time step and the MATLAB function <t>seqlinkage</t> . Figure produced in MATLAB version R2019a.
    Matlab Function Seqlinkage, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab function seqlinkage/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab function seqlinkage - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

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    Adaptive radiations ( a , e and i ), trait distributions at evolutionary time 5000 ( b , f and j ), phylogeny ( c , g and k ) and fitness landscape at time 5000 ( d , h and l ) for simulations with species niche widths (σ con ) being set to 0.1 ( a – d ), 0.3 ( e – h ) and 0.5 ( i – l ). Each simulation was seeded with one monomorphic competitive population with a trait value equal to zero. Simulations were run for 5000 evolutionary time steps where each time step involves potential invasions of mutants and equilibrium population size computation. Community dynamics on both ecological (population dynamics) and evolutionary (macro-evolutionary dynamics) time scales are dictated by the consumer-resource and consumer-consumer trait matching as well as niche width and resource availability. Blue lines in a,e and i shows the resource distribution (second y-axis). Model parameters that were kept constant for the simulations were: K 0 = 10,000; σ K = 1; r = 1; µ = 0.01; σ µ = 0.02. Phylogenetic trees were constructed using data on the distance to the nearest common ancestor between the species at the 5000th simulation time step and the MATLAB function seqlinkage . Figure produced in MATLAB version R2019a.

    Journal: Scientific Reports

    Article Title: Ecological opportunity and adaptive radiations reveal eco-evolutionary perspectives on community structure in competitive communities

    doi: 10.1038/s41598-021-98842-8

    Figure Lengend Snippet: Adaptive radiations ( a , e and i ), trait distributions at evolutionary time 5000 ( b , f and j ), phylogeny ( c , g and k ) and fitness landscape at time 5000 ( d , h and l ) for simulations with species niche widths (σ con ) being set to 0.1 ( a – d ), 0.3 ( e – h ) and 0.5 ( i – l ). Each simulation was seeded with one monomorphic competitive population with a trait value equal to zero. Simulations were run for 5000 evolutionary time steps where each time step involves potential invasions of mutants and equilibrium population size computation. Community dynamics on both ecological (population dynamics) and evolutionary (macro-evolutionary dynamics) time scales are dictated by the consumer-resource and consumer-consumer trait matching as well as niche width and resource availability. Blue lines in a,e and i shows the resource distribution (second y-axis). Model parameters that were kept constant for the simulations were: K 0 = 10,000; σ K = 1; r = 1; µ = 0.01; σ µ = 0.02. Phylogenetic trees were constructed using data on the distance to the nearest common ancestor between the species at the 5000th simulation time step and the MATLAB function seqlinkage . Figure produced in MATLAB version R2019a.

    Article Snippet: Phylogenetic trees were constructed using data on the distance to the nearest common ancestor between the species at the 5000th simulation time step and the MATLAB function seqlinkage .

    Techniques: Construct, Produced