Search research articles

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Resistome and Mobilome Profiling of Raw Cow and Buffalo Milk from the Brazilian Amazon via Shotgun Metagenomics.

Antibiotics (Basel, Switzerland)·2026

Same author

Rhodolith metagenome diversity shifts across the Great Amazon System.

The Science of the total environment·2026

Same author

Detection of <i>Burkholderia mallei</i> in Microbiological Culture: A Comparative Analysis of PCR Primer Sets.

Pathogens (Basel, Switzerland)·2025

Same author

Differential expression reveals inflammatory response and oxidative stress genes in dentin caries.

Archives of oral biology·2025

Same author

Genomic Repertoire of Twenty-Two Novel Vibrionaceae Species Isolated from Marine Sediments.

Microbial ecology·2025

Same author

The Dentin Microbiome: A Metatranscriptomic Evaluation of Caries-Associated Bacteria.

Biomedicines·2025

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

Search research articles

Related Experiment Video

Updated: Feb 26, 2026

High-throughput Gene Tagging in Trypanosoma brucei

High-throughput Gene Tagging in Trypanosoma brucei

Published on: August 12, 2016

ProtozoaDB 2.0: A Trypanosoma Brucei Case Study.

Rodrigo Jardim¹, Diogo Tschoeke^2,3, Alberto M R Da Vila⁴

¹Computational and Systems Biology Laboratory, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro 21040-900, Brazil. rodrigo_jardim@fiocruz.br.

Pathogens (Basel, Switzerland)

|July 21, 2017

Summary

This summary is machine-generated.

ProtozoaDB 2.0 is a new database with 22 pathogenic Protozoa genomes, offering advanced analysis tools. This resource aids in identifying potential drug targets, like prenyltransferase proteins for Trypanosomatids.

Keywords:

ProtozoaDB Trypanosoma brucei information extraction protozoa trypanosomatids

More Related Videos

Bioluminescence Imaging to Detect Late Stage Infection of African Trypanosomiasis

Bioluminescence Imaging to Detect Late Stage Infection of African Trypanosomiasis

Published on: May 18, 2016

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Related Experiment Videos

Last Updated: Feb 26, 2026

High-throughput Gene Tagging in Trypanosoma brucei

High-throughput Gene Tagging in Trypanosoma brucei

Published on: August 12, 2016

Bioluminescence Imaging to Detect Late Stage Infection of African Trypanosomiasis

Bioluminescence Imaging to Detect Late Stage Infection of African Trypanosomiasis

Published on: May 18, 2016

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Area of Science:

Bioinformatics
Genomics
Parasitology

Background:

Genomic data analysis, particularly from Next Generation Sequencing (NGS), presents challenges due to large data volumes.
Previous versions of ProtozoaDB facilitated genomic data extraction for Protozoa.
The increasing number of sequenced Protozoa genomes necessitates enhanced data management and analysis tools.

Purpose of the Study:

To introduce ProtozoaDB 2.0, an upgraded database system for Protozoa genomic and proteomic data.
To provide researchers with expanded data access and advanced analytical capabilities for pathogenic Protozoa.
To facilitate the identification of novel drug targets within Protozoa genomes.

Main Methods:

Development of ProtozoaDB 2.0, a remodeled database system.
Integration of 22 pathogenic Protozoa genomes.
Implementation of new analytical tools including cross-database similarity searches, KEGG pathway visualization, protein structure analysis (PDB), homology and phenotype inferences, and PubMed literature search.
Development of RESTful Web Services using Ruby on Rails (RoR) for easier data access.

Main Results:

ProtozoaDB 2.0 now hosts genomes from 22 pathogenic Protozoa.
The system offers enhanced data visualization and analysis functionalities.
RESTful Web Services facilitate streamlined data retrieval.
A case study identified prenyltransferase proteins as potential drug targets for Trypanosomatids.

Conclusions:

ProtozoaDB 2.0 significantly enhances the analysis of Protozoa genomic and proteomic data.
The expanded database and new tools support deeper scientific inquiry into pathogenic Protozoa.
The platform aids in the discovery of potential therapeutic targets for parasitic diseases.