The development of genomic technologies and the importance of the mitochondrial genome as a molecular marker for estimating phylogenetic relationships have generated a significant increase in the number of completely sequenced mitochondrial genomes. These sequences are available in some broad databases such as those of NCBI (http://www.ncbi.nih.gov) and in smaller and more functional organelle databases. During the optimization of structural and comparative analysis of dipteran mitochondrial genomes carried out in our lab we identified the great value of having a fast and efficient access to updated information of complete arthropodan mitochondrial genomes. AMiGA is being constructed in a relational database system (MySQL) with the use of standard query language (SQL) and already contains information of 54 species of arthropods. It is being populated with sequences and taxonomic information from NCBI databases and from the Codon Usage Database (http://www.kazusa.or.jp/codon). AMiGA aims to offer up-to-date sequences with useful tools for managing mitochondrial data and promoting comparative analysis. A web interface will provide to the public free access to nucleotide and protein sequences, including the sequence of non-coding regions, physical maps, related research institutions and scientific articles. With AMiGA we hope to improve the access to arthropodan mitochondrial genomic data and contribute to the comprehension of this genomic system evolution and its utility as a molecular marker for arthropodan phylogenies.Financial support: CNPq/PROFIX and FAPESP.