Steven Salzberg

Steven L. Salzberg

	2009
55		Steven Salzberg, Tandy Warnow: Algorithms in Bioinformatics, 9th International Workshop, WABI 2009, Philadelphia, PA, USA, September 12-13, 2009. Proceedings Springer 2009
54		Cole Trapnell, Lior Pachter, Steven L. Salzberg: TopHat: discovering splice junctions with RNA-Seq. Bioinformatics 25(9): 1105-1111 (2009)
53		Mihaela 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)
52		Adam 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
51		Lynn 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
50		Mihaela Pertea, Steven Salzberg: Using Protein Domains to Improve the Accuracy of Ab Initio Gene Finding. WABI 2007: 208-215
49		Mihaela 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)
48		Daniel D. Sommer, Arthur L. Delcher, Steven L. Salzberg, Mihai Pop: Minimus: a fast, lightweight genome assembler. BMC Bioinformatics 8: (2007)
47		Arthur 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
46		Jonathan E. Allen, Steven L. Salzberg: A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons. Algorithms for Molecular Biology 1: (2006)
45		John Quackenbush, Steven Salzberg: It is time to end the patenting of software. Bioinformatics 22(12): 1416-1417 (2006)
	2005
44		William H. Majoros, Mihaela Pertea, Arthur L. Delcher, Steven Salzberg: Efficient decoding algorithms for generalized hidden Markov model gene finders. BMC Bioinformatics 6: 16 (2005)
43		William H. Majoros, Steven Salzberg: An empirical analysis of training protocols for probabilistic gene finders. BMC Bioinformatics 6: 193 (2005)
42		Jonathan E. Allen, Steven Salzberg: JIGSAW: integration of multiple sources of evidence for gene prediction. Bioinformatics 21(18): 3596-3603 (2005)
41		Steven Salzberg, James A. Yorke: Beware of mis-assembled genomes. Bioinformatics 21(24): 4320-4321 (2005)
	2004
40		William H. Majoros, Steven Salzberg: An empirical analysis of training protocols for probabilistic gene finders. BMC Bioinformatics 5: 206 (2004)
39		William H. Majoros, Mihaela Pertea, Steven Salzberg: TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics 20(16): 2878-2879 (2004)
38		Brian 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
36		Steven 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
34		Mihaela Pertea, Steven Salzberg: A Method to Improve the Performance of Translation Start Site Detection and Its Application for Gene Finding. WABI 2002: 210-219
33		Mihai 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
31		Simon 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)
16		Steven 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
5		Steven 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

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

Colors in the list of coauthors