MOLECULAR EVIDENCE OF THE AVOCADO DEFENSE RESPONSE TO FUSARIUM KUROSHIUM INFECTION: A DEEP TRANSCRIPTOME ANALYSIS USING RNA-SEQ

Molecular evidence of the avocado defense response to Fusarium kuroshium infection: a deep transcriptome analysis using RNA-Seq

Fusarium kuroshium is a novel member of the Ambrosia Fusarium Clade (AFC) that has been recognized as one of the symbionts of the invasive Kuroshio shot hole borer, an Asian ambrosia beetle.This complex is considered the causal agent of Fusarium dieback, a disease that has severely threatened natural forests, landscape trees, and avocado orchards i

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Intraoperative diagnosis of central nervous system lesions: Comparison of squash smear, touch imprint, and frozen section

Background: Intraoperative diagnosis of central nervous system (CNS) lesions is of utmost importance for neurosurgeons to modify the approach at the time of surgery and to decide on further plan of management.The intraoperative diagnosis is challenging for neuropathologists.Aims: The study was undertaken to determine the accuracy of cytological tec

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Lightweight CNN-Based Method for Spacecraft Component Detection

Spacecraft component detection is essential for space missions, such as for rendezvous and on-orbit assembly.Traditional intelligent detection algorithms suffer from drawbacks related to high computational burden, and are not applicable for on-board use.This paper proposes a convolutional neural network (CNN)-based lightweight algorithm for spacecr

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Network-Based Functional Prediction Augments Genetic Association To Predict Candidate Genes for Histamine Hypersensitivity in Mice

Genetic mapping is a primary tool of genetics in model organisms; however, many quantitative trait loci (QTL) contain tens or hundreds of positional candidate genes.Prioritizing these genes for validation is often ad hoc and biased by previous findings.Here we present a technique for prioritizing positional candidates based on computationally infer

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