Peltzer Alexander, Jäger Günter, Herbig Alexander, Seitz Alexander, Kniep Christian, Krause Johannes, Nieselt Kay
Center for Bioinformatics (ZBIT), Integrative Transcriptomics, Eberhard-Karls-Universität, Sand 14, Tübingen, 72076, Germany.
Institute for Archaeological Sciences, Archaeo- & Palaeogenetics, Rümelinstraße 23, Tübingen, 72074, Germany.
Genome Biol. 2016 Mar 31;17:60. doi: 10.1186/s13059-016-0918-z.
The automated reconstruction of genome sequences in ancient genome analysis is a multifaceted process.
Here we introduce EAGER, a time-efficient pipeline, which greatly simplifies the analysis of large-scale genomic data sets. EAGER provides features to preprocess, map, authenticate, and assess the quality of ancient DNA samples. Additionally, EAGER comprises tools to genotype samples to discover, filter, and analyze variants.
EAGER encompasses both state-of-the-art tools for each step as well as new complementary tools tailored for ancient DNA data within a single integrated solution in an easily accessible format.
古代基因组分析中基因组序列的自动重建是一个多方面的过程。
在此,我们引入了EAGER,这是一个省时的流程,它极大地简化了大规模基因组数据集的分析。EAGER提供了对古代DNA样本进行预处理、映射、验证和评估质量的功能。此外,EAGER还包括对样本进行基因分型以发现、筛选和分析变异的工具。
EAGER在一个易于访问的格式的单一集成解决方案中,既包含了每个步骤的最先进工具,也包含了为古代DNA数据量身定制的新的补充工具。