Genomes as documents of evolutionary history: a probabilistic macrosynteny model for the reconstruction of ancestral genomes
نویسندگان
چکیده
منابع مشابه
Genomes as documents of evolutionary history: a probabilistic macrosynteny model for the reconstruction of ancestral genomes
Motivation It has been argued that whole-genome duplication (WGD) exerted a profound influence on the course of evolution. For the purpose of fully understanding the impact of WGD, several formal algorithms have been developed for reconstructing pre-WGD gene order in yeast and plant. However, to the best of our knowledge, those algorithms have never been successfully applied to WGD events in te...
متن کاملGenomes as documents of evolutionary history.
Genomes conceal a vast intricate record of their carriers' descent and evolution. To disclose this information, biologists need phylogenetic models that integrate various levels of organization, ranging from nucleotide sequences to ecological interactions. Rates of duplication and horizontal gene transfer, organism trees and ancestral population sizes can all be inferred through statistical mod...
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It is often impossible to sequence all descendent genomes to reconstruct an ancestral genome. In addition, more genomes do not necessarily give a higher accuracy for the reconstruction of ancestral character states. These facts lead to studying the genome selection for reconstruction problem. In this work, two greedy algorithms for this problem are proposed and tested on computer simulation dat...
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deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...
the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2017
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btx259