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Data from: Statistical inference of allopolyploid species networks in the presence of incomplete lineage sorting
负责人:
关键词:
Pachycladon;allopolyploid;Bayesian;phylogenetics;Silene;hybridization;Brassicaceae;Caryophyllaceae;network
DOI:
doi:10.5061/dryad.nn3j4
摘要:
allotetraploid. The evolutionary history can be represented as a species network or as a multi-labeled species tree, in which some pairs of tips are labeled
Data from: Gene-tree reconciliation with MUL-trees to resolve polyploidy events
负责人:
关键词:
allopolyploidy;polyploidy;Gene-tree reconciliation;whole genome duplication;autopolyploidy
DOI:
doi:10.5061/dryad.pp837
摘要:
on to work with multi-labeled trees (MUL-trees). By definition, MUL-trees have some tips with identical labels, which makes them a natural representation of the genomes
Data from: Parsimonious inference of hybridization in the presence of incomplete lineage sorting
负责人:
Nakhleh, Luay
关键词:
phylogenetic networks gene trees hybridization incomplete lineage sorting coalescent multi-labeled trees
DOI:
doi:10.5061/dryad.sr534
摘要:
multiple loci across the genomes of a group of species of interest, reconstructing their gene trees, and taking their differences as indicators of hybridizati
Data from: Rapid allopolyploid radiation of moonwort ferns (Botrychium ; Ophioglossaceae) revealed by PacBio sequencing of homologous and homeologous
负责人:
关键词:
Ferns;PURC;reticulate evolution;polyploid network;Botrychium;Ophioglossaceae;low-copy makers;PacBio
DOI:
doi:10.5061/dryad.6q8d6
摘要:
and inferred the multi-labeled polyploid species tree showing the origins of the polyploid taxa, and their relationships to each other and to their diploid
Monitoring crop health, growth and its stand count attributes using UAV based precision agriculture: a study in tropical farmland of Thailand
负责人:
Teerayut Horanont, Advisor
关键词:
NDVI Modified infrared CMOS sensor UAV photogrammetry Multi-temporal CSM Crop growth Deep-learning Object detection Crop Counting
DOI:
doi:10.14457/tu.the.2017.344
摘要:
) with good quality labeled images and intensive training time, YOLO v2 net can accurately detect palm trees in our project area. As for now, the training spends mor

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