Computational Methods for a Large Scale Annotation of Mitochondrial Genome

有丝分裂基因组是存在于大多数真核细胞中的线粒体的基因组。随着现代测序方法的研究已经变得可行，涉及大量物种的有丝分裂基因组的测序。因此，已知有丝分裂基因组序列的物种数量正在迅速增长，并且速度越来越快。用现有的计算方法不可能对所有可用的有丝分裂基因组数据进行全面和自动的分析。用于有丝分裂基因组的计算注释方法通常仅是半自动的，或者仅对于某些类型的基因或有丝分裂基因组特征以及仅对于某些分类群具有足够的质量。此外，这些方法对于大量有丝分裂基因组序列的快速注释不够有效。在这个项目中，我们希望开发一个有效的和全面的注释的有丝分裂基因组序列的算法基础，并希望显示如何开发的方法可以帮助分析的有丝分裂基因组的进化。我们还想研究是否以及如何开发的方法可以用于其他小基因组的注释，特别是质体基因组。

Mitogenomes are the genomes of mitochondria which are organelles that are present in most eukaryotic cells. With modern sequencing methods research has become feasible that involves sequencing of mitogenomes for a large number of species. Therefore, the number of species for which the mitogenome sequence is known is growing rapidly and with increasing pace. A comprehensive and automatic analysis of all available mitogenome data is not possible with existing computational methods. Computational annotation methods for mitogenomes are often only semi-automatic or have a sufficient quality only for some types of genes or mitogenome features and only for certain taxa. Moreover, these methods are not efficient enough for a fast annotation of a large number of mitogenome sequences. In this project we want to develop the algorithmic foundation for an efficient and comprehensive annotation of mitogenome sequences and want to show how the developed methods can help for an analysis of the evolution of mitogenomes. We also want to study if and how the developed methods can be employed for an annotation of other small genomes, in particular for plastid genomes.