Related Experiment Video
Updated: Mar 21, 2026

13:01
gP2S, an Information Management System for CryoEM Experiments
Published on: June 10, 2021
6.0K
PhamDB: a web-based application for building Phamerator databases.
James G Lamine1, Randall J DeJong2, Serita M Nelesen1
1Department of Computer Science.
Bioinformatics (Oxford, England)
|May 7, 2016
Summary
PhamDB is a new web application for creating bacteriophage gene databases, improving workflow and compatibility with existing software. It offers a user-friendly interface for managing phage data and gene similarity grouping.
Area of Science:
- Bioinformatics
- Microbiology
- Genomics
Background:
- Bacteriophage gene analysis is crucial for understanding microbial communities and developing phage-based therapies.
- Existing tools for bacteriophage database creation can be cumbersome and lack modern features.
- A need exists for an improved, user-friendly platform for bacteriophage genomic data management.
Purpose of the Study:
- To introduce PhamDB, a novel web application designed for efficient bacteriophage gene database creation.
- To provide a backwards-compatible solution that enhances the workflow of the established Phamerator desktop software.
- To offer advanced features for managing and analyzing bacteriophage genomic data.
Main Methods:
- Development of a web application with a graphical user interface.
- Implementation of gene similarity grouping for database organization.
- Integration of GenBank file validation and import functionalities.
- Support for importing, modifying, and queuing jobs for existing phage databases.
Main Results:
- PhamDB successfully creates and manages bacteriophage gene databases with improved workflow efficiency.
- The application is backwards compatible with Phamerator, ensuring continuity for existing users.
- Key features such as GUI, data validation, and job queuing are fully functional.
Conclusions:
- PhamDB offers a significant advancement in bacteriophage database creation and management.
- The web application provides a more accessible and efficient platform for researchers in the field.
- Its features facilitate easier handling of large-scale bacteriophage genomic datasets.

