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Updated: Jun 10, 2026

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A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
Published on: October 28, 2025
BiDiBlast: comparative genomics pipeline for the PC.
1Centro de Recursos Microbiológicos (CREM), Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Quinta da Torre, Caparica, Portugal. jmfa@fct.unl.pt
Genomics, Proteomics & Bioinformatics
|August 10, 2010
Summary
This study introduces a Java-based pipeline for bi-directional BLAST analysis, simplifying the detection and annotation of orthologous and paralogous sequences across different operating systems. It offers a user-friendly interface for comparative genomics research.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Bi-directional BLAST is a valuable method for identifying orthologous and paralogous sequences.
- Traditional Perl scripts for bi-directional BLAST are often OS-specific and require complex setup.
- Limitations in portability and accessibility hinder the widespread use of existing bi-directional BLAST tools.
Purpose of the Study:
- To develop a cross-platform Java application for bi-directional BLAST analysis.
- To simplify the detection, annotation, and analysis of orthologous and paralogous sequences.
- To provide an accessible tool for comparative genomics and molecular evolution studies.
Main Methods:
- Implementation of a Java data pipeline for automated sequence analysis.
- Integration with local NCBI BLAST tool for sequence similarity searches.
- Refinement of BLAST hits, GO Slim term annotation, statistical derivation, and molecular evolution rate estimation using PAML.
Main Results:
- A functional Java application capable of performing bi-directional BLAST analysis.
- Generation of delimited text tables containing analyzed sequence data and statistics.
- A graphical user interface (GUI) for enhanced user interaction and accessibility.
Conclusions:
- The developed Java pipeline overcomes the limitations of traditional script-based approaches.
- The application provides a user-friendly and portable solution for ortholog and paralog detection.
- The tool facilitates downstream analysis in comparative genomics and molecular evolution research.

