Clustal X

Clustal W and Clustal X version 2.0. Summary: The Clustal W and Clustal X multiple sequence alignment programs have been completely rewritten in C++. This will facilitate the further development of the alignment algorithms in the future and has allowed proper porting of the programs to the latest versions of Linux, Macintosh and Windows operating systems. Availability: The programs can be run on-line from the EBI web server: http://www.ebi.ac.uk/tools/clustalw2. The source code and executables for Windows, Linux and Macintosh computers are available from the EBI ftp site ftp://ftp.ebi.ac.uk/pub/software/clustalw2/


References in zbMATH (referenced in 29 articles )

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  1. Yuriy Babin: Recan: Python tool for analysis of recombination events in viral genomes (2020) not zbMATH
  2. Huang, Hsin-Hsiung; Girimurugan, Senthil Balaji: Discrete wavelet packet transform based discriminant analysis for whole genome sequences (2019)
  3. Liu, Jone-Han; Chang, Chi-Chang; Chen, Chi-Wei; Wong, Li-Ting; Chu, Yen-Wei: Conservation region finding for influenza A viruses by machine learning methods of N-linked glycosylation sites and B-cell epitopes (2019)
  4. Willis, Amy: Confidence sets for phylogenetic trees (2019)
  5. Chen, Weiyang; Liao, Bo; Li, Weiwei: Use of image texture analysis to find DNA sequence similarities (2018)
  6. Brubach, Brian; Ghurye, Jay; Pop, Mihai; Srinivasan, Aravind: Better greedy sequence clustering with fast banded alignment (2017)
  7. DeBlasio, Dan; Kececioglu, John: Parameter advising for multiple sequence alignment (2017)
  8. Polishko, Anton; Hasan, Md. Abid; Pan, Weihua; Bunnik, Evelien M.; Le Roch, Karine; Lonardi, Stefano: ThIEF: finding genome-wide trajectories of epigenetics marks (2017)
  9. Hoang, Tung; Yin, Changchuan; Zheng, Hui; Yu, Chenglong; Lucy He, Rong; Yau, Stephen S.-T.: A new method to cluster DNA sequences using Fourier power spectrum (2015)
  10. Picardi, Ernesto (ed.): RNA bioinformatics (2015)
  11. Song, Tao; Gu, Hong: Discovering short linear protein motif based on selective training of profile hidden Markov models (2015)
  12. Jääskinen, Väinö; Parkkinen, Ville; Cheng, Lu; Corander, Jukka: Bayesian clustering of DNA sequences using Markov chains and a stochastic partition model (2014)
  13. Podder, Avijit; Jatana, Nidhi; Latha, N.: Human dopamine receptors interaction network (DRIN): a systems biology perspective on topology, stability and functionality of the network (2014)
  14. He, Ping-an; Li, Dan; Zhang, Yanping; Wang, Xin; Yao, Yuhua: A 3D graphical representation of protein sequences based on the Gray code (2012)
  15. Wolfsheimer, Stefan; Hartmann, Alexander; Rabus, Ralf; Nuel, Gregory: Computing posterior probabilities for score-based alignments using ppALIGN (2012)
  16. Elloumi, Mourad (ed.); Zomaya, Albert Y. (ed.): Algorithms in computational molecular biology. Techniques approaches and applications. (2011)
  17. Jackson, Rhydon; Knisley, Debra; McIntosh, Cecilia; Pfeiffer, Phillip: Predicting flavonoid UGT regioselectivity (2011) ioport
  18. Luecking, Robert K.; Hodkinson, Brendan P.; Stamatakis, Alexandros; Cartwright, Reed A.: PICS-ord: Unlimited coding of ambiguous regions by pairwise identity and cost scores ordination (2011) ioport
  19. Zhao, Bo; Duan, Victor; Yau, Stephen S.-T.: A novel clustering method via nucleotide-based Fourier power spectrum analysis (2011)
  20. Bielińska-Wąż, Dorota; Subramaniam, Shankar: Classification studies based on a spectral representation of DNA (2010)

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