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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.
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
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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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RACE - Rapid Amplification of cDNA Ends02:35

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Protein Complex Assembly02:41

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Related Experiment Video

Updated: Jun 22, 2026

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

De novo transcriptome assembly with ABySS.

Inanç Birol1, Shaun D Jackman, Cydney B Nielsen

  • 1Genome Sciences Centre, Vancouver, BC V5Z 4S6, Canada. ibirol@bcgsc.ca

Bioinformatics (Oxford, England)
|June 17, 2009
PubMed
Summary
This summary is machine-generated.

Whole transcriptome shotgun sequencing enables metabolic state studies. De novo assembly of transcriptomes, like follicular lymphoma tumor data, aids in discovering novel genetic events and transcripts.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Transcriptomics

Background:

  • Whole transcriptome shotgun sequencing of non-normalized samples provides insights into organismal metabolic states.
  • Sequence coverage can infer gene expression levels, identify coding variations, and discover novel transcripts or isoforms.
  • De novo transcriptome assembly is crucial for identifying novel molecular events.

Purpose of the Study:

  • To perform de novo assembly of a follicular lymphoma tumor transcriptome.
  • To demonstrate the utility of whole transcriptome sequencing for discovering novel genetic information.

Main Methods:

  • Transcriptome sequencing using Illumina Genome Analyzer II platform with 36 bp single- and paired-end reads.
  • Assembly of approximately 194 million reads using the ABySS assembler.
  • Utilizing ABySS-Explorer for graph-based visualization and analysis.

Main Results:

  • Assembly of 66,921 contigs (≥100 bp) from follicular lymphoma tumor transcriptome.
  • Generated over 30 million base pairs of unique transcriptome sequence.
  • Maximum contig length of 10,951 bp, representing approximately 1% of the genome.

Conclusions:

  • De novo assembly of whole transcriptome shotgun sequencing data is effective for discovering novel transcripts and events.
  • The ABySS assembler is a powerful tool for large-scale transcriptome assembly.
  • This approach facilitates comprehensive analysis of tumor transcriptomes.