Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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.

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

KRAS G12C and KRAS G12D respond to lipid metabolism in an allele-specific manner.

Journal of lipid research·2026

Same author

Correction: Artificial Intelligence-Driven Skin Parameter Assessment in Indian Adults: Establishing Population-Specific Reference Data for Clinical Dermatology.

Cureus·2026

Same author

Artificial Intelligence-Driven Skin Parameter Assessment in Indian Adults: Establishing Population-Specific Reference Data for Clinical Dermatology.

Cureus·2026

Same author

Synergistic energy and charge transfer dynamics in LD/3D perovskite heterojunctions for optoelectronic applications.

Chemical science·2026

Same author

Toward Foundation Models for Mobility Enriched Geospatially Embedded Objects.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems·2026

Same author

Multi-environment evaluation and genomic prediction of agronomic traits in the southern US rice genepool.

The plant genome·2026

Search research articles

Related Experiment Video

Updated: May 21, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

AlgaeOrtho, a bioinformatics tool for processing ortholog inference results in algae.

Mary-Francis LaPorte¹, Neha Arora², Struan Clark³

¹Department of Plant Sciences, University of California, Davis, Davis, CA, United States.

Frontiers in Microbiology

|March 19, 2025

Summary

AlgaeOrtho is a new bioinformatics tool that helps researchers easily find gene targets for bioengineering microalgae. It identifies orthologs across diverse algal species, aiding biofuel and biochemical production.

Keywords:

algae bioengineering bioinformatics metabolic engineering nutraceuticals protein orthology

More Related Videos

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Related Experiment Videos

Last Updated: May 21, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Area of Science:

Biotechnology
Bioinformatics
Algal Research

Background:

Microalgae are key feedstocks for biofuels and biochemicals due to rapid growth and high yields.
Industrial applications require bioengineered algal strains for optimized production.
Identifying specific gene targets (orthologs) is crucial but challenging for researchers without bioinformatics expertise.

Purpose of the Study:

To introduce AlgaeOrtho, a user-friendly tool for identifying protein orthologs in diverse algal species.
To simplify the process of selecting bioengineering targets for microalgae.
To assist researchers in overcoming bioinformatics challenges in algal strain improvement.

Main Methods:

AlgaeOrtho integrates the SonicParanoid orthology inference tool with the PhycoCosm database.
The tool analyzes amino acid sequences to identify potential protein orthologs.
It processes data from multiple diverse algal species.

Main Results:

AlgaeOrtho provides a table of putative orthologs, a sequence similarity heatmap, and a phylogenetic tree.
The tool successfully identified orthologs for bioengineering targets in case studies.
It demonstrated ease of use and utility for identifying targets, even in unannotated species.

Conclusions:

AlgaeOrtho simplifies the identification of bioengineering targets in microalgae.
The tool's visualization capabilities across species are unique.
It empowers researchers to develop superior algal strains for the bioenergy and bioproduct sectors.