In this review we provide an overview of various bioinformatics methods and tools for the analysis of metazoan mitochondrial genomes. We compare available dedicated databases and present current tools for accurate genome annotation, identification of protein coding genes, and determination of tRNA and rRNA models.We also evaluate various tools and models for phylogenetic tree inference using gene order or sequence based data. As for gene order based methods, we compare rearrangement based and gene cluster based methods for gene order rearrangement analysis. As for sequence based methods, we give special emphasis to substitution models or data treatment that reduces certain systematic biases that are typical for metazoan mitogenomes such as within genome and/or among lineage compositional heterogeneity
Bernt, M.; Braband, A.; Middendorf, M.; Misof, B.; Rota Stabelli, O.; Stadler, P.F. (2013). Bioinformatics methods for the comparative analysis of metazoan mitochondrial genome sequences. MOLECULAR PHYLOGENETICS AND EVOLUTION, 69 (2): 320-327. doi: 10.1016/j.ympev.2012.09.019 handle: http://hdl.handle.net/10449/22411
Bioinformatics methods for the comparative analysis of metazoan mitochondrial genome sequences
Rota Stabelli, Omar;
2013-01-01
Abstract
In this review we provide an overview of various bioinformatics methods and tools for the analysis of metazoan mitochondrial genomes. We compare available dedicated databases and present current tools for accurate genome annotation, identification of protein coding genes, and determination of tRNA and rRNA models.We also evaluate various tools and models for phylogenetic tree inference using gene order or sequence based data. As for gene order based methods, we compare rearrangement based and gene cluster based methods for gene order rearrangement analysis. As for sequence based methods, we give special emphasis to substitution models or data treatment that reduces certain systematic biases that are typical for metazoan mitogenomes such as within genome and/or among lineage compositional heterogeneityFile | Dimensione | Formato | |
---|---|---|---|
2013 MPE Bernt et al.pdf
non disponibili
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
374.67 kB
Formato
Adobe PDF
|
374.67 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.