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 35 articles )

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  1. Wang, Lei; Yan, Xin; Liu, Meng-Lin; Song, Ke-Jian; Sun, Xiao-Fei; Pan, Wen-Wen: Prediction of RNA-protein interactions by combining deep convolutional neural network with feature selection ensemble method (2019)
  2. Prohaska, Sonja J.; Berkemer, Sarah J.; Gärtner, Fabian; Gatter, Thomas; Retzlaff, Nancy; Höner zu Siederdissen, Christian; Stadler, Peter F.: Expansion of gene clusters, circular orders, and the shortest Hamiltonian path problem (2018)
  3. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  4. Barton, Carl; Flouri, Tomáš; Iliopoulos, Costas S.; Pissis, Solon P.: Global and local sequence alignment with a bounded number of gaps (2015)
  5. 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)
  6. Picardi, Ernesto (ed.): RNA bioinformatics (2015)
  7. Radenski, Atanas; Ehwerhemuepha, Louis: Speeding-up codon analysis on the cloud with local MapReduce aggregation (2014) ioport
  8. Ellenberger, Sabrina; Schuster, Stefan; Wöstemeyer, Johannes: Correlation between sequence, structure and function for trisporoid processing proteins in the model zygomycete \textitMucormucedo (2013)
  9. Ahn, Insung; Son, Hyeon Seok: Computational model for analyzing the evolutionary patterns of the neuraminidase gene of influenza A/H1N1 (2012)
  10. 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) ioport
  11. Elloumi, Mourad (ed.); Zomaya, Albert Y. (ed.): Algorithms in computational molecular biology. Techniques approaches and applications. (2011)
  12. Faure, Andre J.; Seoighe, Cathal; Mulder, Nicola J.: Investigating the effect of paralogs on microarray gene-set analysis (2011) ioport
  13. Jones, Martin O.; Koutsovoulos, Georgios D.; Blaxter, Mark L.: Iphy: an integrated phylogenetic workbench for supermatrix analyses (2011) ioport
  14. Liu, Xuemei; Wan, Lin; Li, Jing; Reinert, Gesine; Waterman, Michael S.; Sun, Fengzhu: New powerful statistics for alignment-free sequence comparison under a pattern transfer model (2011)
  15. Hara, Toshihide; Sato, Keiko; Ohya, Masanori: MTRAP: pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of residues (2010) ioport
  16. 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)
  17. Saito, Takaya; Sætrom, Pål: A two-step site and mrna-level model for predicting microrna targets (2010) ioport
  18. Salmela, Leena; Tarhio, Jorma; Kalsi, Petri: Approximate Boyer-Moore string matching for small alphabets (2010)
  19. Arrial, Roberto T.; Togawa, Roberto C.; Brigido, Marcelo M.: Screening non-coding rnas in transcriptomes from neglected species using PORTRAIT: case study of the pathogenic fungus paracoccidioides brasiliensis (2009) ioport
  20. Choo, Khar Heng; Tan, Tin Wee; Ranganathan, Shoba: A comprehensive assessment of N-terminal signal peptides prediction methods (2009) ioport

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