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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...

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Updated: Jan 4, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

SLR: a scaffolding algorithm based on long reads and contig classification.

Junwei Luo¹, Mengna Lyu², Ranran Chen²

¹College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, 454000, China. luojunwei@hpu.edu.cn.

BMC Bioinformatics

|November 1, 2019

Summary

This summary is machine-generated.

This study introduces SLR, a novel scaffolding algorithm utilizing long reads to improve genome assembly accuracy. SLR effectively addresses repetitive regions, enhancing contig ordering and completeness in genomic data.

Keywords:

Genome assembly Oxford Nanopore Pacific biosciences Scaffolding Sequence analysis

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Last Updated: Jan 4, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Amplicon Sequencing using the Long-Read Sequencing Technologies

Amplicon Sequencing using the Long-Read Sequencing Technologies

Published on: August 29, 2025

Metagenomic Analysis of Silage

Metagenomic Analysis of Silage

Published on: January 13, 2017

Area of Science:

Genomics
Bioinformatics

Background:

Scaffolding is crucial for genome assembly, ordering and orienting DNA contigs.
Repetitive regions in contigs pose a significant challenge to accurate scaffolding.
Third-generation sequencing technologies provide long reads beneficial for resolving repetitive regions.

Purpose of the Study:

To develop a new scaffolding strategy that leverages long reads to overcome limitations posed by repetitive regions.
To enhance the accuracy and completeness of genome assembly through improved scaffolding.

Main Methods:

A novel scaffolding algorithm named SLR (Scaffolding based on Long Reads and contig classification) was developed.
SLR classifies contigs into unique and ambiguous categories using long read alignment information.
Draft scaffolds are initially built using unique contigs, followed by the integration of ambiguous contigs.

Main Results:

SLR demonstrates superior performance compared to three popular scaffolding tools in terms of accuracy and completeness.
Experiments were conducted using long read datasets from Pacific Biosciences and Oxford Nanopore technologies.
The SLR algorithm successfully addresses challenges posed by repetitive genomic regions.

Conclusions:

SLR is a new algorithm designed for scaffolding contigs using long reads.
The implementation of SLR leads to improved completeness in genome assembly.