DCAlign v1.0：使用共进化模型和信息先验对齐生物序列。
DCAlign v1.0: aligning biological sequences using co-evolution models and informed priors.
机构信息
Italian Institute for Genomic Medicine, IRCCS Candiolo, I-10060 Candiolo (TO), Italy.
Politecnico di Torino, I-10129 Torino, Italy.
出版信息
Bioinformatics. 2023 Sep 2;39(9). doi: 10.1093/bioinformatics/btad537.
SUMMARY
DCAlign is a new alignment method able to cope with the conservation and the co-evolution signals that characterize the columns of multiple sequence alignments of homologous sequences. However, the pre-processing steps required to align a candidate sequence are computationally demanding. We show in v1.0 how to dramatically reduce the overall computing time by including an empirical prior over an informative set of variables mirroring the presence of insertions and deletions.
AVAILABILITY AND IMPLEMENTATION
DCAlign v1.0 is implemented in Julia and it is fully available at https://github.com/infernet-h2020/DCAlign.
摘要
DCAlign 是一种新的对齐方法，能够处理同源序列多序列比对列中的保守性和共进化信号。然而，对齐候选序列所需的预处理步骤计算量很大。在 v1.0 中，我们展示了如何通过包含对一组反映插入和缺失存在的信息变量的经验先验，来显著减少总体计算时间。
可用性和实现
DCAlign v1.0 是用 Julia 实现的，可在 https://github.com/infernet-h2020/DCAlign 上获得。
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