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Steven Salzberg Vis

Steven L. Salzberg

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*2009
55EESteven Salzberg, Tandy Warnow: Algorithms in Bioinformatics, 9th International Workshop, WABI 2009, Philadelphia, PA, USA, September 12-13, 2009. Proceedings Springer 2009
54EECole Trapnell, Lior Pachter, Steven L. Salzberg: TopHat: discovering splice junctions with RNA-Seq. Bioinformatics 25(9): 1105-1111 (2009)
53EEMihaela Pertea, Kunmi Ayanbule, Megan Smedinghoff, Steven L. Salzberg: OperonDB: a comprehensive database of predicted operons in microbial genomes. Nucleic Acids Research 37(Database-Issue): 479-482 (2009)
52EEAdam M. Phillippy, Kunmi Ayanbule, Nathan J. Edwards, Steven L. Salzberg: Insignia: a DNA signature search web server for diagnostic assay development. Nucleic Acids Research 37(Web-Server-Issue): 229-234 (2009)
2007
51EELynn M. Schriml, Aaron Gussman, Kathy Phillippy, Sam Angiuoli, Kumar Hari, Alan Goates, Ravi Jain, Tanja Davidsen, Anurhada Ganapathy, Elodie Ghedin, Steven Salzberg, Owen White, Neil Hall: Gemina: A Web-Based Epidemiology and Genomic Metadata System Designed to Identify Infectious Agents. BioSurveillance 2007: 228-229
50EEMihaela Pertea, Steven Salzberg: Using Protein Domains to Improve the Accuracy of Ab Initio Gene Finding. WABI 2007: 208-215
49EEMihaela Pertea, Stephen M. Mount, Steven L. Salzberg: A computational survey of candidate exonic splicing enhancer motifs in the model plant Arabidopsis thaliana. BMC Bioinformatics 8: (2007)
48EEDaniel D. Sommer, Arthur L. Delcher, Steven L. Salzberg, Mihai Pop: Minimus: a fast, lightweight genome assembler. BMC Bioinformatics 8: (2007)
47EEArthur L. Delcher, Kirsten A. Bratke, Edwin C. Powers, Steven Salzberg: Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics 23(6): 673-679 (2007)
2006
46EEJonathan E. Allen, Steven L. Salzberg: A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons. Algorithms for Molecular Biology 1: (2006)
45EEJohn Quackenbush, Steven Salzberg: It is time to end the patenting of software. Bioinformatics 22(12): 1416-1417 (2006)
2005
44EEWilliam H. Majoros, Mihaela Pertea, Arthur L. Delcher, Steven Salzberg: Efficient decoding algorithms for generalized hidden Markov model gene finders. BMC Bioinformatics 6: 16 (2005)
43EEWilliam H. Majoros, Steven Salzberg: An empirical analysis of training protocols for probabilistic gene finders. BMC Bioinformatics 6: 193 (2005)
42EEJonathan E. Allen, Steven Salzberg: JIGSAW: integration of multiple sources of evidence for gene prediction. Bioinformatics 21(18): 3596-3603 (2005)
41EESteven Salzberg, James A. Yorke: Beware of mis-assembled genomes. Bioinformatics 21(24): 4320-4321 (2005)
2004
40EEWilliam H. Majoros, Steven Salzberg: An empirical analysis of training protocols for probabilistic gene finders. BMC Bioinformatics 5: 206 (2004)
39EEWilliam H. Majoros, Mihaela Pertea, Steven Salzberg: TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics 20(16): 2878-2879 (2004)
38EEBrian J. Haas, Arthur L. Delcher, Jennifer R. Wortman, Steven Salzberg: DAGchainer: a tool for mining segmental genome duplications and synteny. Bioinformatics 20(18): 3643-3646 (2004)
37 Mihai Pop, Adam M. Phillippy, Arthur L. Delcher, Steven Salzberg: Comparative genome assembly. Briefings in Bioinformatics 5(3): 237-248 (2004)
2003
36EESteven Salzberg: Genome Paleontology: Discoveries from Complete Genomes. BIOKDD 2003: 1
35 William H. Majoros, Mihaela Pertea, Corina Antonescu, Steven Salzberg: GlimmerM, Exonomy and Unveil: three ab initio eukaryotic genefinders. Nucleic Acids Research 31(13): 3601-3604 (2003)
2002
34EEMihaela Pertea, Steven Salzberg: A Method to Improve the Performance of Translation Start Site Detection and Its Application for Gene Finding. WABI 2002: 210-219
33EEMihai Pop, Steven Salzberg, Martin Shumway: Genome Sequence Assembly: Algorithms and Issues. IEEE Computer 35(7): 47-54 (2002)
2001
32 Baris E. Suzek, Maria D. Ermolaeva, Mark Schreiber, Steven Salzberg: A probabilistic method for identifying start codons in bacterial genomes. Bioinformatics 17(12): 1123-1130 (2001)
1998
31EESimon Kasif, Steven Salzberg, David L. Waltz, John Rachlin, David W. Aha: A Probabilistic Framework for Memory-Based Reasoning. Artif. Intell. 104(1-2): 287-311 (1998)
30 Steven Salzberg, Arthur L. Delcher, Kenneth H. Fasman, John Henderson: A Decision Tree System for Finding Genes in DNA. Journal of Computational Biology 5(4): 667-680 (1998)
1997
29 John W. Sheppard, Steven Salzberg: A Teaching Strategy for Memory-Based Control. Artif. Intell. Rev. 11(1-5): 343-370 (1997)
28 Esther M. Arkin, Patrice Belleville, Joseph S. B. Mitchell, David M. Mount, Kathleen Romanik, Steven Salzberg, Diane L. Souvaine: Testing Simple Polygons. Comput. Geom. 8: 97-114 (1997)
27 Steven Salzberg: A method for identifying splice sites and translational start sites in eukaryotic mRNA. Computer Applications in the Biosciences 13(4): 365-376 (1997)
26 Steven Salzberg: On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach. Data Min. Knowl. Discov. 1(3): 317-328 (1997)
25 John Henderson, Steven Salzberg, Kenneth H. Fasman: Finding Genes in DNA with a Hidden Markov Model. Journal of Computational Biology 4(2): 127-142 (1997)
1996
24 Steven Salzberg, Xin Chen, John Henderson, Kenneth H. Fasman: Finding Genes in DNA Using Decision Trees and Dynamic Programming. ISMB 1996: 201-210
23 Truxton Fulton, Simon Kasif, Steven Salzberg, David L. Waltz: Local Induction of Decision Trees: Towards Interactive Data Mining. KDD 1996: 14-19
22 David G. Heath, Simon Kasif, S. Rao Kosaraju, Steven Salzberg, Gregory F. Sullivan: Learning nested concept classes with limited storage. J. Exp. Theor. Artif. Intell. 8(2): 129-147 (1996)
1995
21 John W. Sheppard, Steven Salzberg: Combining Genetic Algorithms with Memory Based Reasoning. ICGA 1995: 452-459
20 Truxton Fulton, Simon Kasif, Steven Salzberg: Efficient Algorithms for Finding Multi-way Splits for Decision Trees. ICML 1995: 244-251
19 Sreerama K. Murthy, Steven Salzberg: Lookahead and Pathology in Decision Tree Induction. IJCAI 1995: 1025-1033
18 Sreerama K. Murthy, Steven Salzberg: Decision Tree Induction: How Effective is the Greedy Heuristic? KDD 1995: 222-227
17 Kathleen Romanik, Steven Salzberg: Testing Orthogonal Shapes. Comput. Geom. 5: 33-49 (1995)
16EESteven Salzberg, Arthur L. Delcher, David G. Heath, Simon Kasif: Best-Case Results for Nearest-Neighbor Learning. IEEE Trans. Pattern Anal. Mach. Intell. 17(6): 599-608 (1995)
15 Steven Salzberg: Locating Protein Coding Regions in Human DNA Using a Decision Tree Algorithm. Journal of Computational Biology 2(3): 473-485 (1995)
1994
14 John Rachlin, Simon Kasif, Steven Salzberg, David W. Aha: Towards a Better Understanding of Memory-based Reasoning Systems. ICML 1994: 242-250
13 Sreerama K. Murthy, Simon Kasif, Steven Salzberg: A System for Induction of Oblique Decision Trees. J. Artif. Intell. Res. (JAIR) 2: 1-32 (1994)
12 Steven Salzberg: Book Review: C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993. Machine Learning 16(3): 235-240 (1994)
1993
11 Sreerama K. Murthy, Simon Kasif, Steven Salzberg, Richard Beigel: OC1: A Randomized Induction of Oblique Decision Trees. AAAI 1993: 322-327
10 Esther M. Arkin, Patrice Belleville, Joseph S. B. Mitchell, David M. Mount, Kathleen Romanik, Steven Salzberg, Diane L. Souvaine: Testing Simple Polygons. CCCG 1993: 387
9 David G. Heath, Simon Kasif, Steven Salzberg: Induction of Oblique Decision Trees. IJCAI 1993: 1002-1007
8 R. Scott Cost, Steven Salzberg: A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features. Machine Learning 10: 57-78 (1993)
1991
7 Steven Salzberg, Arthur L. Delcher, David G. Heath, Simon Kasif: Learning with a Helpful Teacher. IJCAI 1991: 705-711
6 David G. Heath, Simon Kasif, S. Rao Kosaraju, Steven Salzberg, Gregory F. Sullivan: Learning Nested Concept Classes with Limited Storage. IJCAI 1991: 777-782
5EESteven Salzberg: Distance Metrics for Instance-Bsed Learning. ISMIS 1991: 399-408
4 Steven Salzberg: A Nearest Hyperrectangle Learning Method. Machine Learning 6: 251-276 (1991)
1989
3 Steven Salzberg: Nested Hyper-Rectangles for Exemplar-Based Learning. AII 1989: 184-201
1985
2 Steven Salzberg: Heuristics for Inductive Learning. IJCAI 1985: 603-609
1983
1 Steven Salzberg: Generating Hypotheses to Explain Prediction Failures. AAAI 1983: 352-355

Coauthor Index

1David W. Aha [14] [31]
2Jonathan E. Allen [42] [46]
3Sam Angiuoli [51]
4Corina Antonescu [35]
5Esther M. Arkin [10] [28]
6Kunmi Ayanbule [52] [53]
7Richard Beigel [11]
8Patrice Belleville [10] [28]
9Kirsten A. Bratke [47]
10Xin Chen [24]
11R. Scott Cost [8]
12Tanja Davidsen [51]
13Arthur L. Delcher [7] [16] [30] [37] [38] [44] [47] [48]
14Nathan J. Edwards [52]
15Maria D. Ermolaeva [32]
16Kenneth H. Fasman [24] [25] [30]
17Truxton Fulton [20] [23]
18Anurhada Ganapathy [51]
19Elodie Ghedin [51]
20Alan Goates [51]
21Aaron Gussman [51]
22Brian J. Haas [38]
23Neil Hall [51]
24Kumar Hari [51]
25David G. Heath [6] [7] [9] [16] [22]
26John Henderson [24] [25] [30]
27Ravi Jain [51]
28Simon Kasif [6] [7] [9] [11] [13] [14] [16] [20] [22] [23] [31]
29S. Rao Kosaraju [6] [22]
30William H. Majoros [35] [39] [40] [43] [44]
31Joseph S. B. Mitchell [10] [28]
32David M. Mount [10] [28]
33Stephen M. Mount [49]
34Sreerama K. Murthy [11] [13] [18] [19]
35Lior Pachter [54]
36Mihaela Pertea [34] [35] [39] [44] [49] [50] [53]
37Adam M. Phillippy [37] [52]
38Kathy Phillippy [51]
39Mihai Pop [33] [37] [48]
40Edwin C. Powers [47]
41John Quackenbush [45]
42John Rachlin [14] [31]
43Kathleen Romanik [10] [17] [28]
44Mark Schreiber [32]
45Lynn M. Schriml [51]
46John W. Sheppard [21] [29]
47Martin Shumway [33]
48Megan Smedinghoff [53]
49Daniel D. Sommer [48]
50Diane L. Souvaine [10] [28]
51Gregory F. Sullivan [6] [22]
52Baris E. Suzek [32]
53Cole Trapnell [54]
54David L. Waltz [23] [31]
55Tandy Warnow [55]
56Owen White [51]
57Jennifer R. Wortman [38]
58James A. Yorke [41]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)