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Related Concept Videos

Viruses with RNA Genomes01:29

Viruses with RNA Genomes

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RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Related Experiment Video

Updated: Feb 20, 2026

Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes
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Software Dedicated to Virus Sequence Analysis "Bioinformatics Goes Viral".

Martin Hölzer1, Manja Marz2

  • 1RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany; European Virus Bioinformatics Center (EVBC), Jena, Germany.

Advances in Virus Research
|October 15, 2017
PubMed
Summary
This summary is machine-generated.

Computer-assisted virology research is underdeveloped despite its importance. Next-Generation Sequencing (NGS) offers new opportunities for viral genomics, quasispecies analysis, and phylogenetic studies, but requires better bioinformatics tools and collaboration.

Keywords:
BioinformaticsSoftwareVirologyVirus sequence analysis

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Area of Science:

  • Virology
  • Bioinformatics
  • Genomics

Background:

  • Computer-assisted analysis of viral genomic structure, function, and evolution is an under-resourced research area.
  • Despite significant medical and biological importance, bioinformatics attention to virology is insufficient.
  • Advancements in genome sequencing and big data analytics present novel opportunities for virology.

Purpose of the Study:

  • To provide an overview of Next-Generation Sequencing (NGS) technologies, challenges, and benefits in virology.
  • To discuss computational approaches for viral sequence detection, quasispecies analysis, and RNA secondary structure prediction.
  • To highlight the role of phylogenetic analysis in understanding viral epidemics and the need for improved algorithms.

Main Methods:

  • Review of current Next-Generation Sequencing (NGS) technologies and their application in virology.
  • Discussion of computational methods for de novo viral sequence detection from short-read data.
  • Exploration of algorithms for viral quasispecies analysis, RNA secondary structure prediction, and phylogenetic analysis.

Main Results:

  • NGS technologies provide powerful tools for addressing fundamental questions in virology.
  • Computational prediction of viral secondary structures and phylogenetic analysis are crucial for understanding viral evolution and epidemics.
  • Dedicated bioinformatics software and interdisciplinary collaboration are essential for advancing computer-assisted virology.

Conclusions:

  • There is an urgent need for enhanced bioinformatics tools and interdisciplinary collaboration between virologists and bioinformaticians.
  • Leveraging NGS and big data analytics can significantly advance our understanding of viral genomics, evolution, and disease.
  • Specialized virus-bioinformatic organizations are emerging, fostering collaborative efforts to address key challenges in the field.