Evolutionary change - patterns and processes

Salzano, Francisco M.

doi:10.1590/s0001-37652005000400006

Cited by 5 publications

(1 citation statement)

References 124 publications

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“…Different microevolutive forces such as selection, genetic drift, and eventually recombination, conversion and hitchhiking are probably present (Maynard Smith and Haigh, 1974). Moreover, the evolutionary processes act on genetic regions and genes, being selection (positive or negative) the most important, followed by others as mutations (Salzano, 2005). Besides, genetic flow is related to different migrations in the history of the involved populations that generated differences in populations and subpopulations (Stumpf and Goldstein, 2003;Choudhry et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Differential admixture in Latin American populations and its impact on the study of colorectal cancer

et al. 2020

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Section: Discussionmentioning

confidence: 99%

Differential admixture in Latin American populations and its impact on the study of colorectal cancer

et al. 2020

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The zipper effect: Why different positions along the chromosome suffer different selection pressures

Oliveira

2011

Physica A: Statistical Mechanics and its Applications

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Comparative analysis of algorithms for whole-genome assembly of pyrosequencing data

Finotello

Lavezzo

Fontana

et al. 2011

Briefings in Bioinformatics

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Next-generation sequencing technologies have fostered an unprecedented proliferation of high-throughput sequencing projects and a concomitant development of novel algorithms for the assembly of short reads. In this context, an important issue is the need of a careful assessment of the accuracy of the assembly process. Here, we review the efficiency of a panel of assemblers, specifically designed to handle data from GS FLX 454 platform, on three bacterial data sets with different characteristics in terms of reads coverage and repeats content. Our aim is to investigate their strengths and weaknesses in the reconstruction of the reference genomes. In our benchmarking, we assess assemblers' performance, quantifying and characterizing assembly gaps and errors, and evaluating their ability to solve complex genomic regions containing repeats. The final goal of this analysis is to highlight pros and cons of each method, in order to provide the final user with general criteria for the right choice of the appropriate assembly strategy, depending on the specific needs. A further aspect we have explored is the relationship between coverage of a sequencing project and quality of the obtained results. The final outcome suggests that, for a good tradeoff between costs and results, the planned genome coverage of an experiment should not exceed 20-30 ×.

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Evolutionary change - patterns and processes

Cited by 5 publications

References 124 publications

Differential admixture in Latin American populations and its impact on the study of colorectal cancer

Differential admixture in Latin American populations and its impact on the study of colorectal cancer

The zipper effect: Why different positions along the chromosome suffer different selection pressures

Comparative analysis of algorithms for whole-genome assembly of pyrosequencing data

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