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MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.
We announce the release of the fourth version of MEGA software, which expands on the existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automaticExpand
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Molecular Evolutionary Genetics Analysis
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MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences with a special emphasis on inferring evolutionary relationships and patterns of DNA and protein evolution. Expand
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TimeTree: a public knowledge-base of divergence times among organisms
We present time estimates from molecular data in a hierarchical structure, corresponding to the tree of life, to maximize their utility. Expand
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Gene Expression Elucidates Functional Impact of Polygenic Risk for Schizophrenia
Over 100 genetic loci harbor schizophrenia-associated variants, yet how these variants confer liability is uncertain. The CommonMind Consortium sequenced RNA from dorsolateral prefrontal cortex ofExpand
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Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
We present a novel unsupervised deep feature learning method to derive a general-purpose patient representation from EHR data that facilitates clinical predictive modeling. Expand
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Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes
Personalized medicine is expected to benefit from combining genomic information with regular monitoring of physiological states by multiple high-throughput methods. Here, we present an integrativeExpand
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Deep learning for healthcare: review, opportunities and challenges
Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedical data remains a key challenge. Expand
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Exploiting drug-disease relationships for computational drug repositioning
In this review, we show that computational methods for drug repositioning can be classified in two axes: drug based, where discovery initiates from the chemical perspective, or disease based. Expand
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Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus
Investigators have long suspected that pathogenic microbes might contribute to the onset and progression of Alzheimer's disease (AD) although definitive evidence has not been presented. Whether suchExpand
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