EMBOSS

EMBOSS is ”The European Molecular Biology Open Software Suite”. EMBOSS is a free Open Source software analysis package specially developed for the needs of the molecular biology (e.g. EMBnet) user community. The software automatically copes with data in a variety of formats and even allows transparent retrieval of sequence data from the web. Also, as extensive libraries are provided with the package, it is a platform to allow other scientists to develop and release software in true open source spirit. EMBOSS also integrates a range of currently available packages and tools for sequence analysis into a seamless whole. EMBOSS breaks the historical trend towards commercial software packages.


References in zbMATH (referenced in 18 articles )

Showing results 1 to 18 of 18.
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  1. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  2. Barton, Carl; Flouri, Tomáš; Iliopoulos, Costas S.; Pissis, Solon P.: Global and local sequence alignment with a bounded number of gaps (2015)
  3. Lee, Chia-Wei; Chen, Pin-Liang; Hsieh, Sun-Yuan: Weight-constrained and density-constrained paths in a tree: enumerating, counting, and $k$-maximum density paths (2015)
  4. Picardi, Ernesto (ed.): RNA bioinformatics (2015)
  5. Radenski, Atanas; Ehwerhemuepha, Louis: Speeding-up codon analysis on the cloud with local MapReduce aggregation (2014)
  6. Ahn, Insung; Son, Hyeon Seok: Computational model for analyzing the evolutionary patterns of the neuraminidase gene of influenza A/H1N1 (2012)
  7. Díaz, David; Esteban, Francisco José; Hernández, Pilar; Caballero, Juan Antonio; Dorado, Gabriel; Gálvez, Sergio: Parallelizing and optimizing a bioinformatics pairwise sequence alignment algorithm for many-core architecture (2011)
  8. Peto, Myron; Grant, David M.; Shoemaker, Randy C.; Cannon, Steven B.: Applying small-scale DNA signatures as an aid in assembling soybean chromosome sequences (2010)
  9. Salmela, Leena; Tarhio, Jorma; Kalsi, Petri: Approximate Boyer-Moore string matching for small alphabets (2010)
  10. Lee, D.T.; Lin, Tien-Ching; Lu, Hsueh-I: Fast algorithms for the density finding problem (2009)
  11. Hidders, Jan; Kwasnikowska, Natalia; Sroka, Jacek; Tyszkiewicz, Jerzy; Van den Bussche, Jan: DFL: A dataflow language based on Petri nets and nested relational calculus (2008)
  12. Hsieh, Sun-Yuan; Cheng, Chih-Sheng: Finding a maximum-density path in a tree under the weight and length constraints (2008)
  13. Tiwari, Abhishek; Sekhar, Arvind K.T.: Workflow based framework for life science informatics (2007)
  14. Xia, Xuhua: Bioinformatics and the cell. Modern computational approaches in genomics, proteomics and transcriptomics (2007)
  15. Jithesh, P.V.; Donachy, P.; Harmer, T.; Kelly, N.; Perrott, R.; Wasnik, S.; Johnston, J.; McCurley, M.; Townsley, M.; McKee, S.: GeneGrid: Architecture, implementation and application (2006)
  16. Jithesh, P.V.; Donachy, P.; Harmer, T.; Kelly, N.; Perrott, R.; Wasnik, S.; Johnston, J.; McCurley, M.; Townsley, M.; McKee, S.: GeneGrid: Architecture, implementation and application (2006)
  17. Li, Xiao; Zhang, Yi-Zheng: Computational detection of microRNAs targeting transcription factor genes in $Arabidopsis$ $thaliana$ (2005)
  18. Mahoui, Malika; Lu, Lingma; Gao, Ning; Li, Nianhua; Chen, Jessica; Bukhres, Omran; Miled, Zina Ben: A dynamic workflow approach for the integration of bioinformatics services (2005)