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Genome Annotation and Assembly

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.

RNA-seq

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.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

Next-generation Sequencing

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.
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Sanger Sequencing

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: Apr 21, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

Published on: August 20, 2021

Methods for assembling reads and producing contigs.

Valerio Orlandini¹, Marco Fondi, Renato Fani

¹Department of Biology, University of Florence, via Madonna del Piano 6, Sesto Fiorentino, Firenze, 50019, Italy, v.orlandini@ibp.cnr.it.

Methods in Molecular Biology (Clifton, N.J.)

|October 26, 2014

Summary

This summary is machine-generated.

Massive sequencing systems generate short DNA reads. This chapter details methods for assembling these reads into a complete genome sequence and performing essential quality control checks for molecular characterization.

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Last Updated: Apr 21, 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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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Genome sequencing is crucial for molecular characterization.
Massive sequencing has become a routine laboratory practice.
Assembling short sequence reads is a key challenge.

Purpose of the Study:

To provide an in-depth discussion of genome assembly methods.
To cover various software and strategies for sequence assembly.
To explain fundamental quality control procedures for sequencing data.

Main Methods:

Assembly of short sequence reads from massive sequencing systems.
Utilizing diverse software tools and strategic approaches.
Implementing quality control measures for genomic data.

Main Results:

Comprehensive overview of current genome assembly techniques.
Guidance on selecting appropriate software and strategies.
Established protocols for data quality assessment.

Conclusions:

Effective genome assembly relies on appropriate methods and quality control.
This chapter equips researchers with essential skills for genomic data analysis.
Facilitates accurate molecular characterization through robust sequencing and assembly.