Kaleb Klara, Vesztrocy Alex Warwick, Altenhoff Adrian, Dessimoz Christophe
Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
Swiss Institute of Bioinformatics, Lausanne, Switzerland.
F1000Res. 2019 Jan 10;8:42. doi: 10.12688/f1000research.17548.2. eCollection 2019.
The Orthologous Matrix (OMA) is a well-established resource to identify orthologs among many genomes. Here, we present two recent additions to its programmatic interface, namely a REST API, and user-friendly R and Python packages called . These should further facilitate the incorporation of OMA data into computational scripts and pipelines. The REST API can be freely accessed at https://omabrowser.org/api. The R OmaDB package is available as part of Bioconductor at http://bioconductor.org/packages/OmaDB/, and the omadb Python package is available from the Python Package Index (PyPI) at https://pypi.org/project/omadb/.
直系同源矩阵(OMA)是一个成熟的用于在众多基因组中识别直系同源物的资源。在此,我们介绍其编程接口的两个最新补充,即一个REST API以及名为 的用户友好型R和Python包。这些应能进一步促进将OMA数据整合到计算脚本和流程中。REST API可通过https://omabrowser.org/api免费访问。R语言的OmaDB包作为Bioconductor的一部分可在http://bioconductor.org/packages/OmaDB/获取,而omadb Python包可从Python包索引(PyPI)在https://pypi.org/project/omadb/获取。