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Book
Advances in Parvovirus Research 2020
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Viruses of the Parvoviridae family constitute a most diverse and intriguing field of research. Parvoviruses can differ widely in their structure, genome organization and expression, virus–cell interactions, and impact on hosts. The translational implication of research on parvoviruses is relevant, since many viruses are important human and veterinary pathogens, while other viruses can be engineered as tools for oncolytic therapy or as sophisticated gene delivery vectors. Exploring the diversity and inherent complexity in the biology of these apparently simple viruses is a still challenging topic for the scientific community. The Special Issue of Viruses is a collection of recent contributions in the field of parvovirus research, encompassing many aspects of basic and translational research on viruses of the family Parvoviridae, including on their structure, replication, and gene expression in addition to virus–host interactions and the development of vaccines and viral vectors.

Keywords

Public health & preventive medicine --- feline parvovirus --- virus-like particles --- VP2 protein --- antibodies --- AAV --- neuro-degenerative disease --- gene therapy --- antigenicity --- sequencing --- virus --- canine parvovirus --- peri-urban --- wild dogs --- disease transmission --- Australia --- parvovirus B19 --- G-quadruplex --- bioinformatics --- antivirals --- BRACO-19 --- pyridostatin --- oncolytic viruses --- rodent protoparvovirus H-1PV --- virus entry --- clathrin-mediated endocytosis --- parvovirus --- minute virus of mice --- RNA processing --- gene expression --- canine --- COVID-19 --- veterinary epidemiology --- B19V --- VP1u --- receptor --- PLA2 --- erythroid cells --- biomarker --- drug delivery --- nanocarrier --- B19 parvovirus --- detection --- cell cycle --- permissivity --- serotype --- capsid --- cryo-EM --- genome packaging --- gene delivery --- bocavirus --- Caribbean region --- new CPV-2a --- outbreak --- endemic --- nearly complete genomes --- virus evolution --- parvoviruses --- nucleus --- imaging of viral interactions and dynamics --- analysis of protein–protein interactions --- analysis of virus–chromatin interactions --- AMDV --- Aleutian disease --- mink parvovirus --- Aleutian mink disease virus --- vaccine --- feline parvovirus --- virus-like particles --- VP2 protein --- antibodies --- AAV --- neuro-degenerative disease --- gene therapy --- antigenicity --- sequencing --- virus --- canine parvovirus --- peri-urban --- wild dogs --- disease transmission --- Australia --- parvovirus B19 --- G-quadruplex --- bioinformatics --- antivirals --- BRACO-19 --- pyridostatin --- oncolytic viruses --- rodent protoparvovirus H-1PV --- virus entry --- clathrin-mediated endocytosis --- parvovirus --- minute virus of mice --- RNA processing --- gene expression --- canine --- COVID-19 --- veterinary epidemiology --- B19V --- VP1u --- receptor --- PLA2 --- erythroid cells --- biomarker --- drug delivery --- nanocarrier --- B19 parvovirus --- detection --- cell cycle --- permissivity --- serotype --- capsid --- cryo-EM --- genome packaging --- gene delivery --- bocavirus --- Caribbean region --- new CPV-2a --- outbreak --- endemic --- nearly complete genomes --- virus evolution --- parvoviruses --- nucleus --- imaging of viral interactions and dynamics --- analysis of protein–protein interactions --- analysis of virus–chromatin interactions --- AMDV --- Aleutian disease --- mink parvovirus --- Aleutian mink disease virus --- vaccine


Book
Computational Methods for the Analysis of Genomic Data and Biological Processes
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.

Keywords

Research & information: general --- Biology, life sciences --- HIGD2A --- cancer --- DNA methylation --- mRNA expression --- miRNA --- quercetin --- hypoxia --- eQTL --- CRISPR-Cas9 --- single-cell clone --- fine-mapping --- power --- RNA N6-methyladenosine site --- yeast genome --- methylation --- computational biology --- deep learning --- bioinformatics --- hepatocellular carcinoma --- transcriptomics --- proteomics --- bioinformatics analysis --- differentiation --- Gene Ontology --- Reactome Pathways --- gene-set enrichment --- meta-analysis --- transcription factor --- binding sites --- genomics --- chilling stress --- CBF --- DREB --- CAMTA1 --- pathway --- text mining --- infiltration tactics optimization algorithm --- classification --- clustering --- microarray --- ensembles --- machine learning --- infiltration --- computational intelligence --- gene co-expression network --- murine coronavirus --- viral infection --- immune response --- data mining --- systems biology --- obesity --- differential genes expression --- exercise --- high-fat diet --- pathways --- potential therapeutic targets --- DNA N6-methyladenine --- Chou's 5-steps rule --- Convolution Neural Network (CNN) --- Long Short-Term Memory (LSTM) --- machine-learning --- chromatin interactions --- prediction --- genome architecture --- HIGD2A --- cancer --- DNA methylation --- mRNA expression --- miRNA --- quercetin --- hypoxia --- eQTL --- CRISPR-Cas9 --- single-cell clone --- fine-mapping --- power --- RNA N6-methyladenosine site --- yeast genome --- methylation --- computational biology --- deep learning --- bioinformatics --- hepatocellular carcinoma --- transcriptomics --- proteomics --- bioinformatics analysis --- differentiation --- Gene Ontology --- Reactome Pathways --- gene-set enrichment --- meta-analysis --- transcription factor --- binding sites --- genomics --- chilling stress --- CBF --- DREB --- CAMTA1 --- pathway --- text mining --- infiltration tactics optimization algorithm --- classification --- clustering --- microarray --- ensembles --- machine learning --- infiltration --- computational intelligence --- gene co-expression network --- murine coronavirus --- viral infection --- immune response --- data mining --- systems biology --- obesity --- differential genes expression --- exercise --- high-fat diet --- pathways --- potential therapeutic targets --- DNA N6-methyladenine --- Chou's 5-steps rule --- Convolution Neural Network (CNN) --- Long Short-Term Memory (LSTM) --- machine-learning --- chromatin interactions --- prediction --- genome architecture


Book
Advances in Parvovirus Research 2020
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Viruses of the Parvoviridae family constitute a most diverse and intriguing field of research. Parvoviruses can differ widely in their structure, genome organization and expression, virus–cell interactions, and impact on hosts. The translational implication of research on parvoviruses is relevant, since many viruses are important human and veterinary pathogens, while other viruses can be engineered as tools for oncolytic therapy or as sophisticated gene delivery vectors. Exploring the diversity and inherent complexity in the biology of these apparently simple viruses is a still challenging topic for the scientific community. The Special Issue of Viruses is a collection of recent contributions in the field of parvovirus research, encompassing many aspects of basic and translational research on viruses of the family Parvoviridae, including on their structure, replication, and gene expression in addition to virus–host interactions and the development of vaccines and viral vectors.


Book
Advances in Parvovirus Research 2020
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Viruses of the Parvoviridae family constitute a most diverse and intriguing field of research. Parvoviruses can differ widely in their structure, genome organization and expression, virus–cell interactions, and impact on hosts. The translational implication of research on parvoviruses is relevant, since many viruses are important human and veterinary pathogens, while other viruses can be engineered as tools for oncolytic therapy or as sophisticated gene delivery vectors. Exploring the diversity and inherent complexity in the biology of these apparently simple viruses is a still challenging topic for the scientific community. The Special Issue of Viruses is a collection of recent contributions in the field of parvovirus research, encompassing many aspects of basic and translational research on viruses of the family Parvoviridae, including on their structure, replication, and gene expression in addition to virus–host interactions and the development of vaccines and viral vectors.


Book
Computational Methods for the Analysis of Genomic Data and Biological Processes
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.

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