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Genesis of avian influenza H9N2 in Bangladesh
Avian influenza subtype H9N2 is endemic in many bird species in Asia and the Middle East and has contributed to the genesis of H5N1, H7N9 and H10N8, which are potential pandemic threats.
Karthik Shanmuganatham+9 more
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A Model Information Management Plan for Molecular Pathology Sequence Data Using Standards [PDF]
Incorporating genetic variant data into the electronic health record (EHR) in discrete computable fashion has vexed the informatics community for years. Genetic sequence test results are typically communicated by the molecular laboratory and stored in the EHR as textual documents. Although text documents are useful for human readability and initial use,
W. Scott Campbell+7 more
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SEView: A Java Applet for Browsing Molecular Sequence Data
SEView is a Java applet that represents known or predicted elements of a protein or nucleotide sequence. It replaces or supplements the textual format of databases or program output with an interactive, graphical representation that is easily available through a WWW browser.
T, Junier, P, Bucher
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Molecular interaction networks in the analyses of sequence variation and proteomics data [PDF]
Protein–protein interaction networks are typically generated in standard cell lines or model organisms as it is prohibitively difficult to record large interaction datasets from specific tissues or disease models at a reasonable pace. Although the interaction data are of high confidence, they thus do not reflect in vivo relationships as such.
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Bootstrap confidence for molecular evolutionary estimates from tumor bulk sequencing data
Bulk sequencing is commonly used to characterize the genetic diversity of cancer cell populations in tumors and the evolutionary relationships of cancer clones. However, bulk sequencing produces aggregate information on nucleotide variants and their sample frequencies, necessitating computational methods to predict distinct clone sequences and their ...
Jared Huzar+7 more
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We demonstrate how a classical taxonomic description of a new species can be enhanced by applying new generation molecular methods, and novel computing and imaging technologies.
Pavel Stoev+16 more
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Learning the Regulatory Code of Gene Expression
Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleotide sequence, modeling gene expression events including protein-DNA binding, chromatin states as well as mRNA and protein levels.
Jan Zrimec+6 more
doaj +1 more source
AlphaFold Protein Structure Database for Sequence-Independent Molecular Replacement
Crystallographic phasing recovers the phase information that is lost during a diffraction experiment. Molecular replacement is a commonly used phasing method for crystal structures in the protein data bank.
Lawrence Chai+7 more
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BEAST: Bayesian evolutionary analysis by sampling trees
Background The evolutionary analysis of molecular sequence variation is a statistical enterprise. This is reflected in the increased use of probabilistic models for phylogenetic inference, multiple sequence alignment, and molecular population genetics ...
Drummond Alexei J, Rambaut Andrew
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Phylogeny of Kinorhyncha Based on Morphology and Two Molecular Loci. [PDF]
The phylogeny of Kinorhyncha was analyzed using morphology and the molecular loci 18S rRNA and 28S rRNA. The different datasets were analyzed separately and in combination, using maximum likelihood and Bayesian Inference.
Martin V Sørensen+6 more
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