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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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...
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.
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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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...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Updated: Jun 16, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
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Published on: June 28, 2018

DraGnET: software for storing, managing and analyzing annotated draft genome sequence data.

Stacy Duncan1, Ruchita Sirkanungo, Leslie Miller

  • 1Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa, USA. gregory@iastate.edu.

BMC Bioinformatics
|February 24, 2010
PubMed
Summary

DraGnET is an open-source web application enabling researchers to manage and analyze genome sequence data in-house. This tool supports comparative genomics and offers a user-friendly interface for draft and complete genome data management.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Next-generation sequencing (NGS) technologies generate vast amounts of genome data.
  • Existing bioinformatics tools have limitations in data submission and proprietary use.
  • Biologists require accessible computational support for genome data analysis.

Purpose of the Study:

  • To develop a user-friendly, in-house solution for genome sequence data management and analysis.
  • To address limitations of existing bioinformatics tools for proprietary sequencing projects.
  • To provide computational support for biologists handling NGS data.

Main Methods:

  • Developed DraGnET (Draft Genome Evaluation Tool), an open-source web application.
  • Implemented a web interface for BLAST for preliminary comparative analysis.
  • Designed for researchers without programming or database management experience.

Main Results:

  • DraGnET facilitates in-house storage, retrieval, organization, and management of annotated genome data.
  • Enables preliminary comparative genomics analysis through a BLAST web interface.
  • Demonstrated utility for comparative genomics on closely related bacterial strains.

Conclusions:

  • DraGnET supports individual and collaborative genome projects via internet or intranet deployment.
  • Allows researchers to maintain data in-house for proprietary analysis.
  • Provides a platform for data analysis before public release and integration with other software.