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Titlebook: Comparative Genomics; RECOMB 2005 Internat Aoife McLysaght,Daniel H. Huson Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 20

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楼主: 笔记
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A Framework for Orthology Assignment from Gene Rearrangement Data,omes have the same gene content and that no gene is duplicated. While these assumptions allow one to work with organellar genomes, they are too restrictive for nuclear genomes. The main challenge in handling more realistic data is how to deal with gene families, specifically, how to identify ortholo
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Bewusste und unbewusste Aspekte,ensive intron data set available presently, consisting of 7236 intron sites from eight eukaryotic organisms. The analysis shows a dynamic history with frequent intron losses and gains, and fairly — albeit not as greatly as previously postulated — intron-rich ancestral organisms.
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https://doi.org/10.1007/978-3-642-74930-8methods that can be used to detect asymmetric duplicates using simulated data and real data from .. One of the methods detects departure from a local molecular clock for amino acid sequences and has been used previously. The second method is novel and tests for different selective constraints along
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Likely Scenarios of Intron Evolution,ensive intron data set available presently, consisting of 7236 intron sites from eight eukaryotic organisms. The analysis shows a dynamic history with frequent intron losses and gains, and fairly — albeit not as greatly as previously postulated — intron-rich ancestral organisms.
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Very Low Power to Detect Asymmetric Divergence of Duplicated Genes,methods that can be used to detect asymmetric duplicates using simulated data and real data from .. One of the methods detects departure from a local molecular clock for amino acid sequences and has been used previously. The second method is novel and tests for different selective constraints along
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Maximizing Synteny Blocks to Identify Ancestral Homologs,t algorithms to identify ancestral homologs, or exemplars [1] , by maximizing synteny blocks between genomes. Using simulated data, we validate our approach and show the merits of using a conservative approach when making such assignments.
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OMA, A Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Dang groups, whenever a comparison could be made, are highly consistent both with EC assignments, and with assignments from the manually curated database HAMAP. A highly accurate set of orthologous sequences constitutes the basis for several other investigations, including phylogenetic analysis and protein classification.
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