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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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.
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Next-generation Sequencing03:00

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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.
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RNA-seq03:21

RNA-seq

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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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Sanger Sequencing01:57

Sanger Sequencing

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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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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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Updated: Mar 31, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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Tablet: Visualizing Next-Generation Sequence Assemblies and Mappings.

Iain Milne1, Micha Bayer2, Gordon Stephen2

  • 1Information and Computational Sciences, The James Hutton Institute, Invergowrie, Dundee, Scotland, UK. iain.milne@hutton.ac.uk.

Methods in Molecular Biology (Clifton, N.J.)
|November 1, 2015
PubMed
Summary
This summary is machine-generated.

This guide demonstrates Tablet software for visualizing next-generation sequencing (NGS) data. It highlights how data visualization aids biologists and bioinformaticians in understanding complex NGS datasets and validating sequence assemblies.

Keywords:
AssemblyMappingNext-generation sequencingSNP discoveryVisualization

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Next-generation sequencing (NGS) generates vast amounts of data annually.
  • Effective tools are crucial for biologists and bioinformaticians to interpret complex genomic information.
  • Data visualization aids in exploring and validating sequencing results.

Purpose of the Study:

  • To provide a practical guide for using the Tablet software.
  • To demonstrate the utility of Tablet for visualizing NGS data.
  • To showcase use cases highlighting Tablet's capabilities in identifying key features within NGS data.

Main Methods:

  • Utilizing the Tablet software for sequence data visualization.
  • Applying visualization techniques to explore NGS datasets.
  • Demonstrating specific use cases within the Tablet interface.

Main Results:

  • Tablet effectively visualizes complex NGS data.
  • The software aids in identifying sequence assemblies and single nucleotide polymorphisms (SNPs).
  • Use cases illustrate Tablet's ability to highlight areas of interest in sequencing data.

Conclusions:

  • Tablet is a valuable tool for NGS data visualization.
  • Effective visualization enhances understanding and validation of genomic data.
  • Biologists and bioinformaticians can gain key insights using Tablet.