Output-Sensitive Algorithms for Finding the Nested Common Intervals of Two General Sequences
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[1] Jens Stoye,et al. Character sets of strings , 2007, J. Discrete Algorithms.
[2] Takeaki Uno,et al. Fast Algorithms to Enumerate All Common Intervals of Two Permutations , 1997, Algorithmica.
[3] Jens Stoye,et al. On the Similarity of Sets of Permutations and Its Applications to Genome Comparison , 2003, COCOON.
[4] Sven Rahmann,et al. Integer Linear Programs for Discovering Approximate Gene Clusters , 2006, WABI.
[5] Franco P. Preparata,et al. Sequencing-by-hybridization revisited: the analog-spectrum proposal , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[6] Biing-Feng Wang,et al. A New Efficient Algorithm for the Gene-Team Problem on General Sequences , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[7] Jens Stoye,et al. Finding Nested Common Intervals Efficiently , 2010, J. Comput. Biol..
[8] Jens Stoye,et al. Computation of Median Gene Clusters , 2008, RECOMB.
[9] Xin He,et al. Identifying Conserved Gene Clusters in the Presence of Homology Families , 2005, J. Comput. Biol..
[10] R. Overbeek,et al. The use of gene clusters to infer functional coupling. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[11] Clifford Stein,et al. Introduction to Algorithms, 2nd edition. , 2001 .
[12] Mathieu Raffinot,et al. An algorithmic view of gene teams , 2004, Theor. Comput. Sci..
[13] U Kurzik-Dumke,et al. Identification of a novel Drosophila melanogaster gene, angel, a member of a nested gene cluster at locus 59F4,5. , 1996, Biochimica et biophysica acta.
[14] Katharina Jahn. Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences , 2011, J. Comput. Biol..
[15] B. Snel,et al. The identification of functional modules from the genomic association of genes , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[16] B. Snel,et al. Conservation of gene order: a fingerprint of proteins that physically interact. , 1998, Trends in biochemical sciences.
[17] S. Salzberg,et al. Prediction of operons in microbial genomes. , 2001, Nucleic acids research.
[18] Cedric Chauve,et al. Formal Models of Gene Clusters , 2007 .
[19] Xin-She Yang,et al. Introduction to Algorithms , 2021, Nature-Inspired Optimization Algorithms.
[20] Mathieu Raffinot,et al. Gene teams: a new formalization of gene clusters for comparative genomics , 2003, Comput. Biol. Chem..
[21] Jens Stoye,et al. Quadratic Time Algorithms for Finding Common Intervals in Two and More Sequences , 2004, CPM.
[22] Dannie Durand,et al. The Incompatible Desiderata of Gene Cluster Properties , 2005, Comparative Genomics.
[23] J. Lawrence,et al. Selfish operons: the evolutionary impact of gene clustering in prokaryotes and eukaryotes. , 1999, Current opinion in genetics & development.
[24] P Bork,et al. Gene context conservation of a higher order than operons. , 2000, Trends in biochemical sciences.
[25] Alexander Zelikovsky,et al. Bioinformatics Algorithms: Techniques and Applications , 2008 .
[26] Hermann A. Maurer,et al. Efficient worst-case data structures for range searching , 1978, Acta Informatica.
[27] Jens Stoye,et al. Finding All Common Intervals of k Permutations , 2001, CPM.
[28] Jens Stoye,et al. Computation of Median Gene Clusters , 2009, J. Comput. Biol..
[29] Gilles Didier,et al. Common Intervals of Two Sequences , 2003, WABI.
[30] Biing-Feng Wang,et al. Improved Algorithms for Finding Gene Teams and Constructing Gene Team Trees , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[31] Michael Ian Shamos,et al. Computational geometry: an introduction , 1985 .