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Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors
Published on: July 28, 2023
Mitome: dynamic and interactive database for comparative mitochondrial genomics in metazoan animals
Yong Seok Lee1, Jeongsu Oh, Young Uk Kim
1Department of Biology, Kyungpook National University, Daegu 702-701, Korea.
Nucleic Acids Research
|October 18, 2007
Summary
Mitome is a specialized database for analyzing metazoan mitochondrial genomes, facilitating comparative studies and phylogenetic reconstruction. This tool aids researchers in exploring genomic features and evolutionary relationships.
Area of Science:
- Genomics
- Bioinformatics
- Evolutionary Biology
Background:
- Mitochondrial genomes are crucial for understanding evolutionary processes.
- Comparative analysis of metazoan mitochondrial genomes requires specialized tools.
Purpose of the Study:
- To introduce Mitome, a novel database for comparative analysis of metazoan mitochondrial genomes.
- To enable automated phylogenetic reconstruction and exploration of genomic features.
Main Methods:
- Database construction using Asynchronous JavaScript and XML (Ajax) and Web Services.
- Integration of comparative analysis tools for base frequency, codon usage, and gene arrangement.
- Development of a graphical genome browser for data visualization.
Main Results:
- Mitome provides tools for taxonomic position identification and sequence retrieval.
- Facilitates homology pattern searches in mitochondrial gene arrangements.
- Enables easy access to related scientific literature via PubMed links.
Conclusions:
- Mitome offers a dynamic, interactive platform for metazoan mitochondrial genomics research.
- The database is a valuable resource for molecular phylogenetics, evolution, and comparative organelle genomics.
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