Results 51 to 60 of about 83,957 (266)

Plastome phylogenomics provide new perspective into the phylogeny and evolution of Betulaceae (Fagales)

open access: yesBMC Plant Biology, 2022
Background Betulaceae is a relatively small but morphologically diverse family, with many species having important economic and ecological values. Although plastome structure of Betulaceae has been reported sporadically, a comprehensive exploration for ...
Zhen Yang   +7 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Identification of miRNAs and their target genes in Larix olgensis and verified of differential expression miRNAs

open access: yesBMC Plant Biology, 2019
Background MiRNAs (microRNA) are 18–24 nt endogenous noncoding RNAs that regulate gene expression at the post-transcriptional level, including tissue-specific, developmental timing and evolutionary conservation gene expression.
Sufang Zhang   +7 more
doaj   +1 more source

Transcriptomic analyses of Pinus koraiensis under different cold stresses

open access: yesBMC Genomics, 2020
Background Pinus koraiensis is an evergreen tree species with strong cold resistance. However, the transcriptomic patterns in response to cold stress are poorly understood for P. koraiensis. In this study, global transcriptome profiles were generated for
Fang Wang   +5 more
doaj   +1 more source

Tree Breeding in Canada

open access: yesThe Forestry Chronicle, 1969
not available
openaire   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

A comprehensive analysis of the impact of genomic imbalance on gene expression in a poplar aneuploidy population

open access: yesCommunications Biology
Alteration of chromosomal dosage severely affects the expressions of cis and trans genes in human and fruit fly. However, its effect on gene expression in plants needs to be further explored.
Yue Yu   +13 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Pangenome analysis of Liriodendron reveals presence/absence variations associated with growth traits

open access: yesBMC Plant Biology
Beyond single nucleotide polymorphisms (SNPs), gene presence/absence variation (PAV) plays a crucial role in elucidating species’ genetic diversity, uncovering the genetic basis of key traits, and advancing molecular marker-assisted breeding in plants ...
Hainan Wu   +6 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

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