RESULTS: We have developed IgMAT, which utilises a reduced amino acid alphabet, that incorporates multiple HMM alignments into a single consensus to automatically annotate immunoglobulin sequences from most organisms. Additionally, the software allows the incorporation of user defined databases to better represent the species and/or antibody class of interest. To demonstrate the accuracy and utility of IgMAT, we present analysis of sequences extracted from structural data and immunoglobulin sequence datasets from several different species.
CONCLUSIONS: IgMAT is fully open-sourced and freely available on GitHub ( https://github.com/TPI-Immunogenetics/igmat ) for download under GPLv3 license. It can be used as a CLI application or as a python module to be integrated in custom scripts.
结果:我们开发了IgMAT,使用减少的氨基酸字母,将多个HMM比对整合到单个共识中以自动注释来自大多数生物体的免疫球蛋白序列。此外,软件允许合并用户定义的数据库,以更好地表示感兴趣的物种和/或抗体类别。为了证明IgMAT的准确性和实用性,我们对从几个不同物种的结构数据和免疫球蛋白序列数据集中提取的序列进行了分析。
结论:IgMAT是完全开源的,可以在GitHub(https://github.com/TPI-Immunogenetics/igmat)上免费获得,可在GPLv3许可下下载。它可以用作CLI应用程序或Python模块集成在自定义脚本中。