Rahul Jonna
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Rahul Jonna has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- David D. Pollock
Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, United States
1 shared publication - Jeremiah J Faith
Bioinformatics Program, Boston University, USA
1 shared publication - Laila A Nahum
Department of Biological Sciences, Biological Computation and Visualization Center, Louisiana State University, Baton Rouge, LA 70803, USA
1 shared publication - Matthew T Reynolds
Department of Biological Sciences, Biological Computation and Visualization Center, Louisiana State University, Baton Rouge, LA 70803 USA
1 shared publication - Thomas J Meyer
Department of Biological Sciences, Biological Computation and Visualization Center, Louisiana State University, 202 Life Sciences Bldg, Baton Rouge, LA 70803, USA
1 shared publication - Zhengyuan O Wang
Department of Biological Sciences, Biological Computation and Visualization Center, Louisiana State University, Baton Rouge, LA 70803 USA
1 shared publication
Latest Publications
- Open Access
- 26 September 2006
- Published by Springer Nature in BMC Bioinformatics
- Vol. 7 (S2) , S7
EGenBio: A Data Management System for Evolutionary Genomics and Biodiversity
Background: Evolutionary genomics requires management and filtering of large numbers of diverse genomic sequences for accurate analysis and inference on evolutionary processes of genomic and functional change. We developed E volutionary Gen omics and Bio diversity (EGenBio; http://egenbio.lsu.edu) to begin to address this. Description: EGenBio is a system for manipulation and filtering of large numbers of sequences, integrating curated sequence alignments and phylogenetic trees, managing evolutionary analyses, and visualizing their output. EGenBio is organized into three conceptual divisions, Evolution, Genomics, and Biodiversity. The Genomics division includes tools for selecting pre-aligned sequences from different genes and species, and for modifying and filtering these alignments for further analysis. Species searches are handled through queries that can be modified based on a tree-based navigation system and saved. The Biodiversity division contains tools for analyzing individual sequences or sequence alignments, whereas the Evolution division contains tools involving phylogenetic trees. Alignments are annotated with analytical results and modification history using our PRAED format. A miscellaneous Tools section and Help framework are also available. EGenBio was developed around our comparative genomic research and a prototype database of mtDNA genomes. It utilizes MySQL-relational databases and dynamic page generation, and calls numerous custom programs. Conclusion: EGenBio was designed to serve as a platform for tools and resources to ease combined analysis in evolution, genomics, and biodiversity.
- 26 September 2006
- Published by Springer Nature in BMC Bioinformatics
- Vol. 7 (S2) , S7
Open AccessEGenBio: A Data Management System for Evolutionary Genomics and Biodiversity
Background: Evolutionary genomics requires management and filtering of large numbers of diverse genomic sequences for accurate analysis and inference on evolutionary processes of genomic and functional change. We developed E volutionary Gen omics and Bio diversity (EGenBio; http://egenbio.lsu.edu) to begin to address this. Description: EGenBio is a system for manipulation and filtering of large numbers of sequences, integrating curated sequence alignments and phylogenetic trees, managing evolutionary analyses, and visualizing their output. EGenBio is organized into three conceptual divisions, Evolution, Genomics, and Biodiversity. The Genomics division includes tools for selecting pre-aligned sequences from different genes and species, and for modifying and filtering these alignments for further analysis. Species searches are handled through queries that can be modified based on a tree-based navigation system and saved. The Biodiversity division contains tools for analyzing individual sequences or sequence alignments, whereas the Evolution division contains tools involving phylogenetic trees. Alignments are annotated with analytical results and modification history using our PRAED format. A miscellaneous Tools section and Help framework are also available. EGenBio was developed around our comparative genomic research and a prototype database of mtDNA genomes. It utilizes MySQL-relational databases and dynamic page generation, and calls numerous custom programs. Conclusion: EGenBio was designed to serve as a platform for tools and resources to ease combined analysis in evolution, genomics, and biodiversity.