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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
RNA-seq03:21

RNA-seq

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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Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Complementary DNA01:44

Complementary DNA

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Complementary DNA01:44

Complementary DNA

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Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Related Experiment Video

Updated: May 21, 2026

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

VoSeq: a voucher and DNA sequence web application.

Carlos Peña1, Tobias Malm

  • 1Department of Biology, University of Turku, Turku, Finland. carlos.pena@utu.fi

Plos One
|June 22, 2012
PubMed
Summary

A new software, VoSeq, simplifies managing molecular phylogenetic data. It provides a user-friendly interface for organizing DNA sequences and voucher specimens, aiding researchers in phylogenetic inference and data publication.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Phylogenetics

Background:

  • Increasing volume of molecular phylogenetic studies due to advancements in DNA sequencing technology.
  • Growing need for robust relational databases to manage diverse biological data, including DNA sequences, genes, and voucher specimens.
  • Lack of user-friendly, specialized tools for managing phylogenetic data hinders research workflow.

Purpose of the Study:

  • To introduce VoSeq, a novel software application designed for efficient management of molecular phylogenetic data.
  • To provide researchers with an integrated solution for organizing sequence and voucher specimen data.
  • To facilitate the preparation of datasets for phylogenetic analysis and publication.

Main Methods:

  • Development of a relational database as the back-end for data storage.

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  • Implementation of a graphical user interface (GUI) accessed via a web browser for user interaction.
  • Integration of tools for dataset creation, BLAST searches, and web service mash-ups for enhanced functionality.
  • Main Results:

    • VoSeq enables streamlined management of DNA or amino acid sequences and associated voucher data.
    • The software generates molecular datasets compatible with popular phylogenetic inference software (RAxML, TNT, MrBayes, PAUP).
    • VoSeq includes built-in BLAST capabilities and integrates with public biological data services (NCBI GenBank, EOL, GBIF).

    Conclusions:

    • VoSeq offers a comprehensive and user-friendly solution for researchers involved in molecular phylogenetics.
    • The software enhances data organization, analysis preparation, and integration with public biological resources.
    • VoSeq addresses the need for specialized tools in managing the increasing complexity of phylogenetic data.