FAMSA: Fast and accurate multiple sequence alignment of huge protein families
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
FAMSA: Fast and accurate multiple sequence alignment of huge protein families
Authors
Keywords
-
Journal
Scientific Reports
Volume 6, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-09-27
DOI
10.1038/srep33964
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Usingde novoprotein structure predictions to measure the quality of very large multiple sequence alignments
- (2015) Gearóid Fox et al. BIOINFORMATICS
- Multiple sequence alignment modeling: methods and applications
- (2015) Maria Chatzou et al. BRIEFINGS IN BIOINFORMATICS
- GLProbs: Aligning Multiple Sequences Adaptively
- (2015) Yongtao Ye et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Reply to Tan et al.: Differences between real and simulated proteins in multiple sequence alignments: Fig. 1.
- (2015) Kieran Boyce et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Simple chained guide trees give poorer multiple sequence alignments than inferred trees in simulation and phylogenetic benchmarks: Fig. 1.
- (2015) Ge Tan et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Ultra-large alignments using phylogeny-aware profiles
- (2015) Nam-phuong D. Nguyen et al. GENOME BIOLOGY
- Correction: QuickProbs—A Fast Multiple Sequence Alignment Algorithm Designed for Graphics Processors
- (2014) PLoS One
- Simple chained guide trees give high-quality protein multiple sequence alignments
- (2014) K. Boyce et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Revisiting amino acid substitution matrices for identifying distantly related proteins
- (2013) Kazunori Yamada et al. BIOINFORMATICS
- Making automated multiple alignments of very large numbers of protein sequences
- (2013) Fabian Sievers et al. BIOINFORMATICS
- MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
- (2013) K. Katoh et al. MOLECULAR BIOLOGY AND EVOLUTION
- Comprehensive comparison of graph based multiple protein sequence alignment strategies
- (2012) Ilya Plyusnin et al. BMC BIOINFORMATICS
- Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega
- (2011) F. Sievers et al. Molecular Systems Biology
- The Pfam protein families database
- (2011) M. Punta et al. NUCLEIC ACIDS RESEARCH
- Sequence embedding for fast construction of guide trees for multiple sequence alignment
- (2010) Gordon Blackshields et al. Algorithms for Molecular Biology
- MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities
- (2010) Y. Liu et al. BIOINFORMATICS
- Optimizing substitution matrix choice and gap parameters for sequence alignment
- (2009) Robert C Edgar BMC BIOINFORMATICS
- Recent developments in the MAFFT multiple sequence alignment program
- (2008) K. Katoh et al. BRIEFINGS IN BIOINFORMATICS
- Kalign2: high-performance multiple alignment of protein and nucleotide sequences allowing external features
- (2008) Timo Lassmann et al. NUCLEIC ACIDS RESEARCH
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started