Results 31 to 40 of about 6,826 (232)

Genesis of avian influenza H9N2 in Bangladesh

open access: yesEmerging Microbes and Infections, 2014
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
doaj   +1 more source

A Model Information Management Plan for Molecular Pathology Sequence Data Using Standards [PDF]

open access: bronzeThe Journal of Molecular Diagnostics, 2019
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
openalex   +4 more sources

SEView: A Java Applet for Browsing Molecular Sequence Data

open access: yesIn Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation, 1998
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
openaire   +2 more sources

Molecular interaction networks in the analyses of sequence variation and proteomics data [PDF]

open access: yesPROTEOMICS – Clinical Applications, 2013
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.
openaire   +3 more sources

Bootstrap confidence for molecular evolutionary estimates from tumor bulk sequencing data

open access: yesFrontiers in Bioinformatics, 2023
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
openaire   +3 more sources

Eupolybothrus cavernicolus Komerički & Stoev sp. n. (Chilopoda: Lithobiomorpha: Lithobiidae): the first eukaryotic species description combining transcriptomic, DNA barcoding and micro-CT imaging data

open access: yesBiodiversity Data Journal, 2016
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
doaj   +3 more sources

Learning the Regulatory Code of Gene Expression

open access: yesFrontiers in Molecular Biosciences, 2021
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

open access: yesCrystals, 2021
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
doaj   +1 more source

BEAST: Bayesian evolutionary analysis by sampling trees

open access: yesBMC Evolutionary Biology, 2007
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
doaj   +1 more source

Phylogeny of Kinorhyncha Based on Morphology and Two Molecular Loci. [PDF]

open access: yesPLoS ONE, 2015
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
doaj   +1 more source

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