Deep Multiple Sequence Alignment Generation
DeepMSA is a composite approach to generate high quality multiple sequence alignment with large alignment depth and diverse sequence sources by merging sequences from whole-genome sequence databases (Uniclust30
) and from metagenome database (Metaclust
). Large-scale benchmark data show that DeepMSA profiles consistently improves contact prediction, secondary structure prediction, and threading over default HHblits or PSI-BLAST profiles.
Online server (view example output)
Our server will undergo maintenance from Oct. 7 to Oct. 21, 2019. You can still submit jobs normally during this period, but the jobs may take longer time than usual to finish. The server will be back to full functionality after Oct. 21, 2019. We apologize for any inconvenience this may cause.
- Chengxin Zhang, Wei Zheng, S M Mortuza, Yang Li, Yang Zhang (2019)
DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins. Bioinformatics.