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Evolutionary Relationships through Genome Comparisons

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...

Genomics

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...

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.

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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

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Related Experiment Video

Updated: May 13, 2025

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

A Hitchhiker's Guide to long-read genomic analysis.

Medhat Mahmoud¹, Daniel P Agustinho¹, Fritz J Sedlazeck^2,3,4

¹Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.

Genome Research

|April 14, 2025

Summary

This summary is machine-generated.

Long-read sequencing technology has advanced significantly, improving genomic analysis and variant interpretation. This review covers the latest bioinformatics methods for long-read DNA sequencing, from data processing to annotation.

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Last Updated: May 13, 2025

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

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Published on: March 15, 2019

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Area of Science:

Genomics and Bioinformatics
Molecular Biology

Background:

Long-read sequencing has become a key technology for exploring complex genomic regions.
Advancements in cost, scalability, and accuracy have driven its evolution.
Emerging analytical methods maximize the utility of long-read data.

Purpose of the Study:

To provide a comprehensive overview of recent developments in long-read DNA sequencing analysis.
To detail bioinformatics methods for reference-based and de novo assembly.
To examine the workflow from data processing to variant annotation for improved genomic variant interpretation.

Main Methods:

Review of current bioinformatics tools and pipelines for long-read sequencing data.
Analysis of reference-based and de novo assembly strategies.
Exploration of variant calling and annotation techniques tailored for long reads.

Main Results:

Long-read sequencing enables complete human genome assembly and enhanced identification of complex genomic variants.
Improved insights into epigenetics and genomic variation interplay.
Demonstration of advanced bioinformatics methods for comprehensive genomic interpretation.

Conclusions:

Long-read sequencing analysis is crucial for understanding complex genomes and genomic variations.
The field is rapidly advancing, with ongoing challenges and future directions in bioinformatics.
State-of-the-art methods enhance the interpretation of diverse genomic variants.